Cybernetics and systems theory Books

Book Synopsis"Advanced Topics in Control Systems Theory" contains selected contributions written by lecturers at the second (annual) Formation d’Automatique de Paris (FAP) (Graduate Control School in Paris). It is addressed to graduate students and researchers in control theory with topics touching on a variety of areas of interest to the control community such as cascaded systems, flatness, optimal control, and Hamiltonian and infinite-dimensional systems. The reader is provided with a well-integrated synthesis of the latest thinking in these subjects without the need for an exhaustive literature review. "Advanced Topics in Control Systems Theory" can be used to support either a one-term general advanced course on nonlinear control theory, devoting a few lectures to each chapter, or for more focused and intensive courses at graduate level. The book’s concise but pedagogical manner will give an ideal start to researchers wishing to broaden their knowledge in aspects of modern control theory outside their own expertise.Table of ContentsNonlinear Adaptive Stabilization via System Immersion: Control Design and ApplicationsCascaded Nonlinear Time-varying Systems: Analysis and DesignControl of Mechanical Systems from Aerospace EngineeringCompositional Modelling of Distributed-parameter SystemsAlgebraic Analysis of Control Systems Defined by Partial Differential EquationsStructural Properties of Discrete and Continuous Linear Time-varying Systems: A Unified Approach.

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Book SynopsisThis book contains all refereed papers accepted during the ninth edition of the conference that took place at the Cité Internationale Universitaire de Paris on December 18-19, 2018.Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between forum in Paris dedicated to academic researchers & industrial actors working on complex industrial systems architecture, modeling & engineering.These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on “Products & services development in a digital world”. The CSD&M Paris 2018 conference is organized under the guidance of CESAM Community (http://cesam.community/en). CESAM Community has been developed since 2010 by the non-profit organization CESAMES Association to organize the sharing of good practices in Enterprise and Systems Architecture and to certify the level of knowledge and proficiency in this field through CESAM certification.

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Book SynopsisRecent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.Trade Review“This handbook is designed for a wide audience. It is an excellent reference for graduate students, researchers, and practitioners in the field of control systems and numerical optimization who want to understand the potential, challenges, and benefits of MPC and its applications. … This handbook enables the reader to gain a panoramic viewpoint of MPC theory and practice as well as provides a state-of-the-art overview of new and exciting areas of application at the forefront of MPC research.” (Gabriele Pannocchia, IEEE Control Systems Magazine, Vol. 40 (5), October, 2020)Table of ContentsTheory.- The Essentials of Model Predictive Control (MPC).- Dynamic Programming and MPC.- Set-valued and Lyapunov Methods for MPC.- Stochastic Model Predictive Control.- Moving Horizon Estimation.- Probing and Duality in Stochastic Model Predictive Control.- Economic Model Predictive Control: Some Design Tools and Analysis Techniques.- Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective.- Hybrid Model Predictive Control.- Model Predictive Control of Polynomial Systems.- Distributed MPC for Large-Scale Systems.- Scalable MPC Design.- Computations.- Efficient Convex Optimization for Linear MPC.- Implicit Non-Convex Model Predictive Control.- Convexification and Real-Time Optimization for MPC with Aerospace Applications.- Explicit (Offline) Optimization for MPC.- Real-Time Implementation of Explicit Model Predictive Control.- Robust Optimization for MPC.- Scenario Optimization for MPC.- Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control.- Applications.- Automotive Applications of Model Predictive Control.- Applications of MPC in the Area of Health Care.- Model Predictive Control for Power Electronics Applications.- Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots.- Applications of MPC to Building HVAC Systems.- Toward Multi-Layered MPC for Complex Electric Energy Systems.- Applications of MPC to Finance.

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Book SynopsisThis translation brings a landmark systems engineering (SE) book to English-speaking audiences for the first time since its original publication in 1972. For decades the SE concept championed by this book has helped engineers solve a wide variety of issues by emphasizing a top-down approach. Moving from the general to the specific, this SE concept has situated itself as uniquely appealing to both highly trained experts and anybody managing a complex project. Until now, this SE concept has only been available to German speakers. By shedding the overtly technical approach adopted by many other SE methods, this book can be used as a problem-solving guide in a great variety of disciplines, engineering and otherwise.By segmenting the book into separate parts that build upon each other, the SE concept’s accessibility is reinforced. The basic principles of SE, problem solving, and systems design are helpfully introduced in the first three parts. Once the fundamentals are presented, specific case studies are covered in the fourth part to display potential applications. Then part five offers further suggestions on how to effectively practice SE principles; for example, it not only points out frequent stumbling blocks, but also the specific points at which they may appear. In the final part, a wealth of different methods and tools, such as optimization techniques, are given to help maximize the potential use of this SE concept.Engineers and engineering students from all disciplines will find this book extremely helpful in solving complex problems. Because of its practicable lessons in problem-solving, any professional facing a complex project will also find much to learn from this volume.Table of ContentsPart I- SE-Principles.- Chapter 1- Systems Thinking.- Chapter 2- Process models: SE and others.- Part II- The Problem Solving Process.- Chapter 3- System Design.- Chapter 4- Project Management.- Part III- Systems Design.- Chapter 5- Systems Architecting.- Chapter 6- Concept Development.-Part IV- Case Studies.- Chapter 7- SE Basics.- Chapter 8- Study 1: Private House Building - Additional domicile.- Chapter 9- Case Study 2: Airport Planning.- Chapter 10- Case Study 3: Smart City, Science Tower.- Part V- SE for Practice.- Chapter 11- Seven Basic Recommendations.- Chapter 12- Typical Weak Areas in Projects (Stumbling Blocks).- Chapter 13- Activities Checklists.- Chapter 14- Characteristics of Successful Project Management.- Part VI- Methods and Tools.- Chapter 15- Survey of Methods and Tools (M&T).- Chapter 16- Encyclopedia/Glossary.- Part VII- Appendix.- Chapter 17- Answers: Self-check of knowledge and comprehension.- Chapter 18- List of Figures.- Chapter 19- Bibliography.- Chapter 20- Index.- Chapter 21- Authors Addresses.

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Book SynopsisThis book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory.The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts: theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control. A useful reference resource on the Koopman operator theory for control theorists and practitioners, the book is also of interest to graduate students, researchers, and engineers looking for an introduction to a novel and comprehensive approach to systems and control, from pure theory to data-driven methods.Table of ContentsPart I: Control Design, Observation, and Identification.- Linear Observer Synthesis for Nonlinear Systems.- Linear Predictors for Nonlinear Dynamical Systems.- Global Stability Analysis.- Pulse-based Optimal Control.- Parameter Estimation and Identification of Nonlinear Systems.- Koopman Spectrum and Stability of Cascaded Dynamical Systems.- Open and Closed Loop Control of PDEs via Switched Systems and Koopman operator based reduced order models.- Part II: Data-Driven Analysis.- Data-driven Approximations of Dynamical Systems Operators for Control.- Operator Theoretic-based Data-driven Approach for Optimal Stabilization of Nonlinear System.- Manifold Learning for Data-Driven Dynamical Systems Analysis.- Use of Data-Driven Koopman Spectrum Computation and Delay Embedding.- Part III: Applications.- Modeling of Advective Heat Transfer in a Practical Building Atrium via Koopman Mode Decomposition.- Phase-amplitude Reduction of Limit-cycling Systems.- Exploiting Effects of Network Topology on Performance in Nonlinear Consensus Networks.- Koopman Operators in Embedded Control.

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Book SynopsisThis volume provides a comprehensive review of multiple-scale dynamical systems. Mathematical models of such multiple-scale systems are considered singular perturbation problems, and this volume focuses on the geometric approach known as Geometric Singular Perturbation Theory (GSPT). It is the first of its kind that introduces the GSPT in a coordinate-independent manner. This is motivated by specific examples of biochemical reaction networks, electronic circuit and mechanic oscillator models and advection-reaction-diffusion models, all with an inherent non-uniform scale splitting, which identifies these examples as singular perturbation problems beyond the standard form. The contents cover a general framework for this GSPT beyond the standard form including canard theory, concrete applications, and instructive qualitative models. It contains many illustrations and key pointers to the existing literature. The target audience are senior undergraduates, graduate students and researchers interested in using the GSPT toolbox in nonlinear science, either from a theoretical or an application point of view. Martin Wechselberger is Professor at the School of Mathematics & Statistics, University of Sydney, Australia. He received the J.D. Crawford Prize in 2017 by the Society for Industrial and Applied Mathematics (SIAM) for achievements in the field of dynamical systems with multiple time-scales.Table of ContentsIntroduction.- Motivating examples.- A coordinate-independent setup for GSPT.- Loss of normal hyperbolicity.- Relaxation oscillations in the general setting.- Pseudo singularities & canards.- What we did not discuss.

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Book SynopsisThis book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms. Table of Contents1. An Introduction: New Trends in Computing2. Numerical Computing3. Parallel Computing: OpenMP, MPI, and CUDA4. Deep Learning and Cognitive computing: Pillars and Ladders5. Approximate Computing: Towards Ultra Low Power Systems Design6. Near-Memory/In-Memory Computing: Pillars and Ladders7. Quantum Computing and DNA Computing: Beyond Conventional Approaches8. Cloud, Fog and Edge Computing9. Reconfigurable and Heterogeneous Computing10. ConclusionIndex

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Book SynopsisThis book describes a set of SystemC‐based virtual prototype analysis methodologies, including design understanding, verification, security validation, and design space exploration. Readers will gain an overview of the latest research results in the field of Electronic Design Automation (EDA) at the Electronic System Level (ESL). The methodologies discussed enable readers to tackle easily key tasks and applications in the design process.Table of ContentsChapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Design Understanding Methodology.- Chapter 4. Application I: Verification.- Chapter 5. Application II: Security Validation.- Chapter 6. Application III: Design Space Exploration.- Chapter 7. Conclusion.

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Book SynopsisThis book provides readers with a single-source reference to current sensing integrated circuit design. It is written in handbook style, including systematic guidelines and implementation examples. The authors focus on the implementation of wide-bandwidth current sensing on a single microchip, toward usage in applications such as sensing, control and optimization of the energy flow in growth areas like industrial electronics, renewable energies, smart grids, electromobility and the Internet of Things. Provides readers with a comprehensive, all-in-one source for current sensing integrated circuit design, including implementation examples; Discusses modeling and optimization of on-chip Rogowski coil and Hall sensor in both lateral and vertical orientation; Includes noise reduction techniques, such as auto-zeroing and chopping; Covers open-loop and closed-loop sensor front-end design; Presents the first on-chip current sensor with a planar coil placed besides a power line to measure internal signal currents and the first off-chip current sensor with a helix-shaped coil for external signal currents in the multi-MHz region. Table of ContentsIntroduction.- Motivation and Fundamentals.- Integrated Rogowski Coil Sensing.- Integrated Hall Sensing.- Hybrid Current Sensor.- Conclusion and Outlook.

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Book SynopsisThis book explores C-based design, implementation, and analysis of post-quantum cryptography (PQC) algorithms for signature generation and verification. The authors investigate NIST round 2 PQC algorithms for signature generation and signature verification from a hardware implementation perspective, especially focusing on C-based design, power-performance-area-security (PPAS) trade-offs and design flows targeting FPGAs and ASICs. Describes a comprehensive set of synthesizable c code base as well as the hardware implementations for the different types of PQC algorithms including lattice-based, code-based, and multivariate-based; Demonstrates the hardware (FPGA and ASIC) and hardware-software optimizations and trade-offs of the NIST round 2 signature-based PQC algorithms; Enables designers to build hardware implementations that are resilient to a variety of side-channels. Table of ContentsIntroduction.- qTESLA.- CRYSTALS –Dilithium.- MQDSS.- SPHINCS.- Luov.- Falcon.- Picnic.- GeMSS.- Power, Performance, Area, and Security (PPAS) Comparison of the PQC Algorithms.- Conclusions.

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Book SynopsisThis study guide is designed for students taking courses in electrical circuit analysis. The textbook includes examples, questions, and exercises that will help electrical engineering students to review and sharpen their knowledge of the subject and enhance their performance in the classroom. Offering detailed solutions, multiple methods for solving problems, and clear explanations of concepts, this hands-on guide will improve student’s problem-solving skills and basic understanding of the topics covered in electric circuit analysis courses. Exercises cover a wide selection of basic and advanced questions and problems Categorizes and orders the problems based on difficulty level, hence suitable for both knowledgeable and under-prepared students Provides detailed and instructor-recommended solutions and methods, along with clear explanations Can be used along with the core textbooks in AC circuit analysis and advanced electrical circuit analysis Table of ContentsDC Circuits.- Nodal and Mesh Analyses.- First-order Circuits.- Second-order Circuits.-Circuit Theorems.- AC Circuits.- Sinusoids and Phasors.- Sinusoidal Steady-state Analysis.- AC Power Analysis.- Magnetically Coupled Circuits.- Frequency Response.- Laplace Transform.- Applications of the Laplace Transform.- Two-port Networks.

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Book SynopsisThe aim of this book is to provide a well-structured and coherent overview of existing mathematical modeling approaches for biochemical reaction systems, investigating relations between both the conventional models and several types of deterministic-stochastic hybrid model recombinations. Another main objective is to illustrate and compare diverse numerical simulation schemes and their computational effort. Unlike related works, this book presents a broad scope in its applications, from offering a detailed introduction to hybrid approaches for the case of multiple population scales to discussing the setting of time-scale separation resulting from widely varying firing rates of reaction channels. Additionally, it also addresses modeling approaches for non well-mixed reaction-diffusion dynamics, including deterministic and stochastic PDEs and spatiotemporal master equations. Finally, by translating and incorporating complex theory to a level accessible to non-mathematicians, this book effectively bridges the gap between mathematical research in computational biology and its practical use in biological, biochemical, and biomedical systems.Trade Review“The primary audience is graduate students and researchers. … content would have to be selected and formatted for lectures carefully. It is most suitable for independent study, and is especially useful as a reference text for the foundations of techniques used in current research. The choice of references are excellent and very current: it is a good survey of both the relevant foundations and current state of research … and would be a useful starting point for a literature review.” (Chay Paterson, zbMATH 1467.92005, 2021)Table of ContentsIntroduction.- Well-mixed stochastic reaction kinetics.- Population scaling.- Temporal scaling.- Spatial scaling.- Summary and Outlook.- Mathematical background.

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Book SynopsisThis book presents recent developments in nonlinear and complex systems. It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems Table of Contents1. Preface by Dr. Dimitri Volchenkov2. Chapter 1 . J. A. Tenreiro Machado, Shannon Information Analysis of the Chromosome Code.3. Chapter 2. Dimitri Volchenkov, Veniamin Smirnov, An Unfair Coin of the Standard & Poor’s 5004. Chapter 3. Relativistic chaotic scattering by Juan D. Bernal, Jesus M. Seoane, Miguel A.F. Sanjuan5. Chapter 4. Artificial Intelligence for Studying Perception of Ambiguous Images and Decision-Marking Processes in the Human Brain by Alexander N. Pisarchik, Anastasija E. Runnova, Nikita S. Frolov, and Alexander E. Hramov6. Chapter 5. Fuhong Min, Chuang Li, Multistability Coexistence of Memristive Chaotic System, and the Application in Image Decryption7. Chapter 6: Veniamin Smirnov, Zhuanzhuan Ma, And Dimitri Volchenkov, Extreme Events and Emergency Scales 8. Chapter 7: M. Edelman, Evolution of Systems with Power-Law Memory: Do We Have to Die?9. Chapter 8: Dimitri Volchenkov, Probability Entanglement and Destructive Interference in Biased Coin Tossing10. Chapter 9: Messoud Efendiev, Vitali Vougalter, On the solvability of some systems of integro-differential equations with drift.11. Chapter 10: Vitali Vougalter, Vitaly Volpert, Solvability in The Sense of Sequences For Some Non Fredholm Operators With The Bi-Laplacian 12. Chapter 11: Vitali Vougalter, The Preservation of Nonnegativity of Solutions of A Parabolic System With The Bi-Laplacian

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Book SynopsisThis textbook is designed for an introductory, one-semester course in Control Systems for undergraduates and graduates in various engineering departments, such as electrical, mechanical, aerospace, and civil. It is written to be concise, clear, and yet comprehensive to make it easier for the students to learn this important subject with high mathematical complexity. The author emphasizes the physical simulation of systems, making it easier for readers to understand system behavior. The popular MATLAB® software package is used for programming and simulation. Every new concept is explained with figures and examples for a clear understanding. The simple and clear style of presentation, along with comprehensive coverage, enables students to obtain a solid foundation in the subject and for use in practical applications.Table of Contents1. Introduction2. The Laplace Transform3. Mathematical Modeling of Electrical Systems4. Mathematical Modeling of Mechanical Systems5. Block Diagrams and Signal-Flow Graphs6. Steady State and Transient Responses7. Root Locus8. Design of Control Systems in Frequency Domain - Bode plot9. Nyquist Plot10. State-space Analysis of Control Systems11. Design of Control Systems in State space

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Book SynopsisChapter 1. An introduction about moments in identification.- Chapter 2. An introductory example.- Chapter 3. Partial moments in continuous-time.- Chapter 4. Partial moments in discrete-time.- Chapter 5. Algebraic identification, a partial moment approach.- Chapter 6. Continuous-time subspace based method.- Chapter 7. Continuous-time linear parameter varying model.- Chapter 8. Multidimensional partial moments.- Chapter 9. Perspectives.- Referrences.

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Book Synopsis- Homogeneous Dynamics and its connection to Diophantine Approximation.- Effective unique ergodicity and weak mixing of translation flows.- Lecture notes on Birkhoff billiards: dynamics, integrability and spectral rigidity.- Introduction to Fatou components in holomorphic dynamics.

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Book SynopsisDynamical Systems: Chaos, Complexity & Fractals.- Solving Population Balance Models via a Novel Semi-Analytical Method.- Fractal Structures in some Non-linear Partial Differential Equations.- Combination Therapy for Chronic Hepatitis B Using Capsid Recycling Inhibitor.- Non-equilibrium Cytokine Dynamics For Possible Therapeutic Intervention.- Modeling the Dynamic Effects of Parathyroid Hormone Therapy on Bone Remodeling.- Local and Global Stability Analysis of a Predator-Prey System with Harvesting and Fear Effects.- MODELING THE IMPACT OF BEHAVIORAL CHANGES ON DISEASE DYNAMICS IN PREY-PREDATOR ECO-EPIDEMIC SYSTEMS.- Analyzing Crude Oil Price Fluctuations: A Fractal Perspective.- Multifractal characterization of Weibull and Gamma probability distribution functions.- Numerical and Graphical Representations of Allelopathic Effects on Plant Populations: A Mathematical Model Using DDE.- Dynamical Analysis for the Prey-Predator Model in Beddington De-Angelis type Functional Response with Prey Refuge.- Basins of attraction in the photogravitational magnetic-binary problem with oblateness and dissipations.- Implicit numerical schemes based on the lower incomplete gamma function for solving a class of nonlinear fractional-ordinary differential equation problems arising from a stochastic process.- On a variable-order fractional parabolic problems.- Asymptotic Analysis of a Class of Singularly Perturbed Nonlinear Electromechanical Dynamic Models.- DYNAMICAL ANALYSIS OF A THREE-SPECIES DISEASED FOOD WEB MODEL WITH DIFFERENT FUNCTIONAL RESPONSES.- Nonlinear analysis of dielectric elastomer actuator.- STABILITY ANALYSIS OF DIFFUSIVE PREDATOR-PREY MODEL INVOLVING INTRA-SPECIFIC COEFFICIENTS WITH THE CONCEPT OF DIFFERENCE EQUATION.- Analytical Study of the Vibration Effects Due to Nonlinear Unbalanced Magnetic Pull in Electrical Machines under Static Eccentricity.- Cost and Durability Optimization of Metal- Sandwich Panels for Bullet Proof Armours via Explicit Dynamic Analysis.- Null controllability results for fractional dynamical systems.- Role of diffusivity of lactate on its accumulation in tumor necrotic core.- Fluid Dynamics & Nonlinear Flows.- On a Numerical Investigation of MHD Flow of a Hybrid Nanofluid with Rotation and Thermal Buoyancy Force.- Conditions for oscillation onset and flow stagnation in oscillating heat pipes.- Numerical exploration of tracer behavior in porous channels with couple stress and magnetic fields.- The time fractional Navier-Stokes-Damped equations with slip boundary conditions.- THERMAL ENERGY TRANSPORT IN CARBON NANOTUBES-WATER NANOFLUID FLOW ON AN INCLINED SURFACE: FRACTIONAL AND CLASSICAL PERSPECTIVE.- On the decay process of temperature field in a general type of turbulent flow.- Influence of homogeneous heterogeneous reaction on nanofluid flow over MHD non-Darcian with porous media in presence of linear thermal radiation.- Solute transport phenomena in a stratified fluid through a porous media with boundary reactions.- Mixing of a solute in a micropolar blood flow model through a capillary tube with an absorptive wall.- Casson Fluid Flow in a Duct with Iso-thermal Walls under the Local Thermal Non-Equilibrium Framework: Temperature Distribution.- Impacts of Hall and Ion Slip on a Casson Nanofluid of a MHD with Radiation Absorption.- Rotating Mixed Convective Casson Fluid Flow past Inclined Porous Plates with the Effects of Hall and Ion Slip, Radiation Absorption, and Diffusion Thermo.- A Numerical Analysis of MHD Micropolar Hybrid Nanofluid Flow over a Porous Stretching/Shrinking Sheet.- Deflection of a Smooth Cantilever Beam Caused by Fluid Pressure Gradient: A Numerical Investigation.- Flow-induced vibrations of a freely vibrating bidirectional square cylinder in the presence of a stationary square cylinder at a low Reynolds number.- Impact of Hall current on chemically reactive Darcy Forchheimer flow of hybrid nanofluid over moving slender needle.- On the Investigation of Interacting Fault Movement in a Viscoelastic Structure.- Non-linear velocity e?ects on the flow of Newtonian/non-Newtonian basefluids with magnetic/non-magnetic nanoparticles over a stretching sheet embedded in a porous medium.- Local Nonsimilarity Solution for Nonlinear Convection of Casson Fluid Flow with Nonuniform Heat Source/Sink.- A numerical analysis on heat and mass transport process in porous medium on MHD Williamson nanofluid through a permeable extending surface.- Numerical study of the Effects of Geometric Parameters on Ferrofluid Mixed Convection in a Porous Rectangular Vented Enclosure.- Thermo-Solutal Marangoni Convection in Maxwell Nanofluid Flow Through Darcy-Forchheimer Porous Medium.- The Investigation of Squeezing Flow Through a Porous Medium Between Parallel Plates Using the Homotopy Perturbation Method.- Turbulence features in a wall-wake flow downstream of two horizontal cylinders a numerical approach.- Hydrodynamic Dispersion of Volatile Contaminant in an Open Channel Flow Using a Fitted Operator Approach.

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Book SynopsisGraphs, Networks & Communications.- New G-optimality criteria for multi-dimensional control problem with applications in artificial neural system.- Multiscale Permutation Entropy Analysis of EEG-Based Seizure Classification: A Machine Learning Approach.- Prediction of Refractive Index of Rice Blast Fungicides using Eccentric Degree Index A Graph Theoretic Approach.- On maximal $mu^*$-open set, minimal $mu^*$-closed set, mean $mu^*$-open set and its applications in discrete dynamical systems.- Performance Analysis of Discrete Wavelet Transforms for Acoustic Scene Classification with DCASE Dataset.- Investigation of channel doping effects on high-frequency noise for Trench Double gate JLFETs.- On Graphs Attaining Upper Bound of k-Rainbow Total Domination Number and its Application in Graph Dynamical System.- 2-path signed graph of signed Smith graphs and its applications in nonlinear dynamics.- Frequency Analysis of Orthotropic Square Plates with Circular Thickness Variations in Two Dimensions.- BlossomNet: A Deep Learning Framework for Accurate Flower Identification.- Performance Analysis of Accurate and Approximate Compressors at Nanometer Regime.- A Simple but Accurate Method of Estimation of Far Field  Pattern of Single-mode Triangular Index Fiber.- Analyzing Electrocardiogram Signal  Complexity with Weighted Entropy.- Physics Informed Neural Network for solution of Duffing oscillators.- Wavelet Scattering Operators for Multiscale Processes: the Case Study of Marine Mammal Vocalizations.- Outer Heliosphere and Interstellar Medium: investigation on the signal fluctuations collected by Voyager probes.- An adaptable single-server encouraged arrival, balking, and symmetric stochastic Markovian queuing system with threshold policy.- SNR Estimation for Hypercubic Signals in Rayleigh Channels.- Vehicle Detection With Number Plate Recognition.- Patient Health Monitoring System for Chronic Cardiac  Attack using Machine Learning.- Time Domain analysis of vibration isolator using Newmark method along with Newton Raphson method.- Deep Learning for Path Tracking of Autonomous Mobile Robots.- Other Fields of Nonlinear Dynamics.- Generative models as out-of-equilibrium particle systems: training of Energy-Based Models using Non-Equilibrium Thermodynamics.- Chemical Significance of Some Neighborhood Degree-based Molecular Descriptors.- Dynamics of pendulum forced by a magnetic excitation with position-dependent phase.- Analysis of surface texture and material removal rate during AISI 202 thermal-assisted turning using a carbide cutting tool.- High cycle fatigue behavior of TIG welded joint at optimum parametric condition.- Study of Cylindrical Magnetohydronymaic Shock Waves in Non-Ideal Gas: Similarity Solution Perspective.- QSPR Analysis of Anti-Asthma Drugs using some recent Neighbourhood Degree-based Topological Descriptors.- Does anything beat a GARCH(1,1)? Evidence from Crypto Markets.- Computational Analysis of Sn-Doped hBN for Detection of Lung Cancer-Related VOCs.- Exploring Business Management Practices of Milk Tea Houses in Selected Urban Towns of Nueva Vizcaya.- Drift and Annihilation of a Counter-rotating Spiral Pair in Belousov-Zhabotinsky Reaction Under a DC  Electric Field.- Analyzing the Impact of COVID-19 pandemic and Ukraine-Russia war in WTI-Brent Spread: A MFXDFA Approach.- Experimental and Parametric study of friction stir welding in similar and dissimilar metals.- A General Form of FO PI-PD Controllers for Some Stable Integer and Non-integer Order Plants with Transport Delay.- Abortion Detection and Monitoring for Empowering Equality through the Integration of Biometric and Artificial Intelligence.- Effect of vacancy defect on the free vibration of some noncarbon nanomaterials: A molecular static study.- UV-visible, FTIR and Electrochemical Properties of rGO and ZnO/rGO Nanocomposite Produced via Green Synthesis Process.- An Efficient Hybrid Sequence of Retargeting Operators to Minimize Structural Deformities in Image.- Image acquisition and electric field application in the Belousov-Zhabotinsky reaction using LabVIEW.- Theoretical Investigation to Analyze the Effect of Core Size of InAs/GaAs Core Shell Nanostructure.- Estimating Soil Temperature at Various Depths in Bangladesh: A Comparative Analysis of Advanced Machine Learning Tree-Based Models.- Stability Analysis of Vaccinated and Non-Vaccinated Population of Covid'19 A Study by Mathematical Modeling.- Investigation of dielectric studies of (Nd1-xGdx)2FeCrO6 (x = 0.0 0.3) Double Perovskite.- Mapping the Spatial Dynamics of COVID-19 Clusters in Nueva Vizcaya, Philippines.- Dissipative Force on an External Quark in AdS  Gauss-Bonnet Gravity with String Cloud.- A Structural Model of Mathematics Performance as Influenced by Students' Engagement with Technology to Students' Motivation.- A gesture based turing test for mitigation of DDoS attacks in cloud.- Efficacy of a Markovian queueing system with differentiated dual vacation, encouraged arrival, balking and feedback.- Parameters optimization of a hydraulically interconnected suspension in a stretcher using Genetic Algorithm.- Stochastic Resonance with Entropy.- Optimizing Performance Measures in a Finite Markovian Heterogeneous Queueing Model with Encouraged Arrival.- Synchronized Dynamics of Earthquake Fault Motion.- Multidimensional Extensions of Basic (or $q$-) Analogs of Certain Erd'elyi Type Integrals.

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Book Synopsis- 1. Introduction.- 2. The Morse Complex with Local Coefficients.- 3. The Homology Determined by the Isomorphism Class of G.- 4. Singular and CW-Homology with Local Coefficients.- 5. Twisted Morse Cohomology and Lichnerowicz Cohomology.- 6. Applications and Computations.

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Book SynopsisPreface.- Introduction.- Preliminaries.- Scalar Variational-hemivariational Inequalities.- Models in Contact Mechanics.- Variational-hemivariational Inequalities: Existence and Uniqueness.- Variational-hemivariational Inequalities: Stability.- Mixed Variational-Hemivariational Inequalities.- Applications in Fluid Mechanics.- References.- Index.

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Book SynopsisChapter 1. Introduction.- Chapter 2. Elements of Real and Functional Analysis.- Chapter 3. Elements of Native Space Theory.- Chapter 4. Elements of Dynamical Systems Theory.- Chapter 5. Native Space Embedding Control Methods.- Chapter 6. Data-Driven Methods and Adaptive Control: Deterministic Analysis.- Chapter 7. Data-Driven Methods and Adaptive Control: Stochastic Analysis.- Chapter 8. Conclusion.- Appendix.

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Book SynopsisMathematical theories of influencers in complex networks.- Social media influencers and politics.- Influencers for marketing.- Influencers as superspreaders of disease.- Genetic influencers in gene regulatory networks.- Neural influencers in the brain.- Keystone species are influencers in ecosystems.- Networks and Artificial Intelligence in Finance.- Outlook.

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Book SynopsisCity Size Distributions.- Urban Scaling Laws.- The Bene?ts and Costs of Agglomeration: Insights from Economics and Complexity.- Urban Mobility.- The Long-run Impacts of Migration on the City Population Size Distribution.- The Gravity Model for Social Systems.- Segregation in Cities.- Monocentric or Polycentric City? An Empirical Perspective.- Urban Climate Through the Lens of Complex System Science.- Designing Complexity? The Role of Self-Organization in Urban Planning and Design.- Fractality of Cities.- Entropy and the City: Origins, Trajectories and Explorations of the Concept in Urban Science.- An Introduction to Mathematical Concepts of Power-laws in Cities and Urban Systems.

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Book Synopsis1. Preliminaries.- 2. Linear Differential Equations with Jumps Generating a Positive Evolution on an Ordered Banach Space.- 3. Stability of Systems of Stochastic Linear Differential Equations with Jumps.- 4. Structural Properties of Linear Stochastic Systems with Jumps.- 5. A Class of Generalized Matrix Riccati Differential Equations with Jumps.- 6. Linear Quadratic Optimal Control Problems for Linear Stochastic Systems with Jumps.- 7. H2 Optimal Control and H2 Optimal Filtering for Stochastic Linear Systems with Jumps.- 8. Robust Control with Respect to the Parametric Uncertainties of a Stochastic Linear System with Jumps.

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Book SynopsisPreface.- Introduction.- Semigroup actions.- Attraction and Lyapunov stability.- Orbital maps.- Lyapunov stability on fiber bundles.- Fenichel’s uniformity lemma.- Stability and controllability.- Higher stability and generalized recurrence.- Fiber bundles.- References.- Index.

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Book SynopsisPreface.- Introduction.- Main Results.- Preliminaries.- Poset Filtered Chain Complexes.- Algebraic Connection Matrices.- Connection Matrices in Lefschetz Complexes.- Dynamics of Combinatorial Multivector Fields.- Connection Matrices for Forman's Gradient Vector Fields.- Future Work and Open Problems.- References.

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Book SynopsisBelief Evolution in Society Over Time: Dynamics Based on Random and Homophily-Based Networks, and Applications.- Retention in Higher Education: An Agent-Based Model of Social Interactions and Motivated Agent Behavior.- Micro, Meso, Macro: Generic Structures of Social Complexity for Defense Systems Engineering & National Security Wargames.- Classifying Noisy Human Signals Using Topological Data Analysis.- MADmax: Multi-Agent Trust Dynamics and Influence Maximization.- Gardening Contagion: Using Agent-Based Modeling to Examine Growth and Persistence of Food-Secure Communities.- Recommending Defenses Against Cyber Threats: An Approach Inspired by Machine Translation.- On Representing Knightian Uncertainty in Agent-Based Models.- Engaging Communities in Developing Technologies to Support Community Flourishing: A Workshop Report.- Generational Taste Formation and Cultural Markets: A Develecological Approach to Cultural Change.- Analysis of FPDS-NG Data for Economic Influence.- Intelligent Agent Interactions for Southwest Border Interdictions.- Scaling Agent-Based Model Outputs Using Network Analysis.- Modeling the Evacuation from a Regional Disaster Using the Poisson distribution.- Graph Neural Differential Equations for Coarse-Grained Socioeconomic Dynamics.

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Book SynopsisIntroduction.- Fundamentals of Nonlinear Networked Systems.- Part I: Homogeneous Systems and Homogenization.- Consensus of Linear Homogeneous Systems.- Consensus of Nonlinear Homogeneous Systems.- Homogenization of Nonlinear Heterogeneous Systems.- Distributed Adaptive Homogenization.- Communication Delay.- Switching Networks.- Part II: Heterogeneous Systems.- A Reference Model Paradigm.- Reference Model Matching.- Feedforward Design.- Internal Model Principle I: State Communication.- Internal Model Principle II: Output Communication.- Sampled-Data Control.- Event-Triggered Control.- Part III Advanced Topics.- Autonomous Synchronization.- Frequency Modulated Systems.- Appendix.

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Book SynopsisSetting the stage.- An overview of our main conceptual tool.- A bird’s eye view on cells.- Origins.- Spontaneous organization.- Self-organization in chemical reactions.- Collective self-replication in chemical reactions.- Protocells and synchronization.- Polymers in protocells.- Conclusions.

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