Automatic control engineering Books
Taylor & Francis Ltd Visual Perception and Control of Underwater Robots
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£45.99
Taylor & Francis Ltd Autonomous Safety Control of Flight Vehicles
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£114.00
Taylor & Francis Ltd Autonomous Safety Control of Flight Vehicles
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£45.99
Taylor & Francis Ltd Applied Edge AI
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£94.99
Taylor & Francis Ltd Transfer Learning through Embedding Spaces
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£42.74
Taylor & Francis Ltd Data Analytics Computational Statistics and Operations Research for Engineers
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£128.25
Taylor & Francis Ltd Introduction to HighDimensional Statistics
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£73.14
Taylor & Francis Ltd Introduction to Lattice Algebra
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£99.75
Taylor & Francis Ltd Data Mining and Exploration
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£128.25
Taylor & Francis Ltd Deep Learning in Biomedical and Health Informatics
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£104.50
Taylor & Francis Ltd Smart Computing and SelfAdaptive Systems
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£114.00
Taylor & Francis Ltd Data Science for Engineers
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£87.39
Taylor & Francis Ltd Magnetic Field Assisted Finishing
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£80.74
Taylor & Francis Ltd Cloud Computing Enabled BigData Analytics in Wireless Adhoc Networks
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£114.00
Taylor & Francis Ltd Internet of Things
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£105.00
Taylor & Francis Ltd Robust Cooperative Control of MultiAgent Systems A Prediction and Observation Prospective
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£124.87
Taylor & Francis Ltd Robust Cooperative Control of MultiAgent Systems
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£43.69
Taylor & Francis Ltd Reinvention of Health Applications with IoT
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£104.50
Taylor & Francis Ltd PostShrinkage Strategies in Statistical and Machine Learning for High Dimensional Data
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£118.75
Taylor & Francis Ltd Process Mining Techniques for Pattern Recognition
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£128.25
Taylor & Francis Ltd Manufacturing and Enterprise
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£45.99
Taylor & Francis Ltd Industrial Engineering NonTraditional Applications in International Settings
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£45.99
Taylor & Francis Ltd A Tour of Data Science
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£46.54
Taylor & Francis Ltd Change Request Impacts in Software Maintenance
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£52.24
Taylor & Francis Ltd Systems Analysis and Design Techniques Methodologies Approaches and Architecture
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£137.75
Taylor & Francis Systems Analysis and Design
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£137.75
Taylor & Francis Inc Mechatronic System Control Logic and Data Acquisition
Book SynopsisThe first comprehensive and up-to-date reference on mechatronics, Robert Bishop''s The Mechatronics Handbook was quickly embraced as the gold standard in the field. With updated coverage on all aspects of mechatronics, The Mechatronics Handbook, Second Edition is now available as a two-volume set. Each installment offers focused coverage of a particular area of mechatronics, supplying a convenient and flexible source of specific information. This seminal work is still the most exhaustive, state-of-the-art treatment of the field available.Focusing on the most rapidly changing areas of mechatronics, this book discusses signals and systems control, computers, logic systems, software, and data acquisition. It begins with coverage of the role of control and the role modeling in mechatronic design, setting the stage for the more fundamental discussions on signals and systems. The volume reflects the profound impact the development of not just the computer, but the microcomputer, embeTable of ContentsThe Role of Controls in Mechatronics. The Role of Modeling in Mechatronics Design. Signals and Systems in Mechatronics. State Space Analysis and System Properties. Response of Dynamic Systems. Root Locus Method. Frequency Response Methods. Kalman Filters as Dynamic System State Observers. Digital Signal Processing for Mechatronic Applications. Control System Design via H2 Optimization. Adaptive and Nonlinear Control Design. Neural Networks and Fuzzy Systems. Advanced Control of an Electro-Hydraulic Axis. Design Optimization of Mechatronic Systems.
£142.50
Taylor & Francis Ltd Artificial Intelligence Machine Learning and
Book SynopsisQuantum computing is a field in which advanced technologies like quantum communication, artificial intelligence and machine learning can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers.Key features: Provides a clear insight into the Internet of Drones for academicians, postdoc fellows, research scholars, graduate and postgraduate students, industry fellows and software engineers Useful to professionals who seek information abouTable of Contents1. Quantum information processes: Role of quantum logic gates. 2. A brief study on Quantum walks and Quantum mechanics. 3. A keen study on Quantum Information Systems. 4. Prologue to quantum computing and blockchain technology. 5. Quantum Computing Application for Satellites and Satellite Image Processing. 6. Evolution of Deep Quantum Learning Models based on Comprehensive Survey on Effective Malware Identification and Analysis. 7. Healthcare System 4.0 Driven by Quantum Computing and Its Use Cases: A COVID 19 Perspective. 8. An Overview of Future Applications of Quantum Computing. 9. Authentication and Authorization for Electronic Health Records using Merkle Tree - Attribute Based Encryption. 10. Artificial intelligence, machine learning and smartphone-internet of things (s-iot) for advanced student network and learning. 11. Role of IoT Based Smart Mask to Combat COVID-19. 12. Encryption Algorithms for Cloud Computing and Quantum Blockchain: A Futuristic Technology Roadmap. 13. Quantum Artificial Intelligence for the Science of Climate Change. 14.Quantum Computing- Based Optimization in Depression Detection Using Speech.
£73.14
Taylor & Francis Ltd Deep Learning for CrackLike Object Detection
Book SynopsisComputer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy tTable of ContentsIntroduction. Crack Detection with Deep Classification Network. Crack Detection with Fully Convolutional Network. Crack Detection with Generative Adversarial Learning. Self-Supervised Structure Learning for Crack Detection. Deep Edge Computing. Conclusion and Discussion.
£43.69
Taylor & Francis Ltd Python for Scientific Computing and Artificial
Book SynopsisPython for Scientific Computing andArtificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Table of ContentsSection I. An Introduction to Python. 1. The IDLE Integrated Development Learning Environment. 2. Anaconda, Spyder and the Libraries NumPy, Matplotlib and SymPy. 3. Jupyter Notebooks and Google Colab. 4. Python for AS-Level (High School) Mathematics. 5. Python for A-Level (High School) Mathematics. Section II. Python for Scientific Computing. 6. Biology. 7. Chemistry. 8. Data Science. 9. Economics. 10. Engineering. 11. Fractals and Multifractals. 12. Image Processing. 13. Numerical Methods for Ordinary and Partial Differential Equations. 14. Physics. 15. Statistics. Section III. Artificial Intelligence. 16. Brain Inspired Computing. 17. Neural Networks and Neurodynamics. 18. TensorFlow and Keras. 19. Recurrent Neural Networks. 20. Convolutional Neural Networks, TensorBoard, and Further Reading. 21. Answers and Hints to Exercises.
£52.24
Taylor & Francis Ltd System Reliability and Security
Book SynopsisBecause of the growing reliance on software, concerns are growing as to how reliable a system is before it is commissioned for use, how high the level of reliability is in the system, and how many vulnerabilities exist in the system before its operationalization. Equally pressing issues include how to secure the system from internal and external security threats that may exist in the face of resident vulnerabilities. These two problems are considered increasingly important because they necessitate the development of tools and techniques capable of analyzing dependability and security aspects of a system. These concerns become more pronounced in the cases of safety-critical and mission-critical systems.System Reliability and Security: Techniques and Methodologies focuses on the use of soft computing techniques and analytical techniques in the modeling and analysis of dependable and secure systems. It examines systems and applications having complex distTable of Contents1. A GNN Approach for Software Reliability, 2. Software Reliability Prediction Using Neural Networks: A Non-parametric Approach, 3. Analysis and Modelling of Software Reliability Using Deep Learning Methods, 4. Fixed-Design Local Polynomial Approach for Estimation and Hypothesis Testing of Reliability Measures, 5. Reliability Analysis of Relation between Urbanization, Vegetation Health, and Heat Island Through Markov Chain Model, 6. Modeling and IoT (Internet of Things) Analysis for Smart Precision Agriculture, 7. Engineering Challenges in the Development of Artificial Intelligence and Machine Learning Software Systems, 8. Study and Analysis of Testing Effort Functions for Software Reliability Modeling, 9. Summary of NHPP-Based Software Reliability Modeling With Lindley-Type Distributions, 10. Artificial Intelligence and Machine Learning Problems and Challenges in Software Testing, 11. Software Quality Prediction by CatBoost: Feed-Forward Neural Network in Software Engineering, 12. Software Security, 13. Definitive Guide to Software Security Metrics, 14. Real-Time Supervisory Control and Data Acquisition (SCADA) Model for Resourceful Distribution and Use of Public Water
£56.99
Taylor & Francis Ltd What Every Engineer Should Know About Smart
Book SynopsisGet ready to be at the forefront of the future of urban development!As cities continue to rapidly grow, the demand for sustainable and efficient infrastructure becomes more urgent. That's where What Every Engineer Should Know About Smart Cities comes in, offering a comprehensive guide to the concepts and technologies driving the transformation of our cities.Delve into the world of smart cities and discover how information and communication technologies are revolutionizing urban environments. With clear definitions and a focus on real-world applications, this book explores the benefits and challenges of smart cities. It also highlights interdisciplinary topics such as smart buildings, autonomous cars, and urban emergency management systems.This book is not just a theoretical exploration of smart cities. It goes beyond that by providing an in-depth look at the key technologies that are essential to creating smart cities. From the Internet of Things and blocTable of ContentsChapter 1 Defining Smart Cities: An OverviewChapter 2 Smart Cities and the Internet of Things: A Synergetic PartnershipChapter 3 Smart Cities as Complex Systems: A Systems-of-Systems ApproachChapter 4 Modeling and Simulation for Smart City DevelopmentChapter 5 Digital Twin for Smart Cities TransformationChapter 6 Blockchain for Secure and Transparent Smart City TransactionsChapter 7 Smart Mobility for Liveable Cities: Opportunities and ChallengesChapter 8 Building Healthy Cities with Smart TechnologiesChapter 9 Agribusiness in the Era of Smart Cities: Opportunities and ChallengesChapter 10 A Smarter Education for a Better Future: Opportunities and ChallengesChapter 11 Smart City in Action: A Case Study of the City of Santa Rosa, Brazil
£45.99
Taylor & Francis Ltd Hybrid Computational Intelligent Systems
Book SynopsisHybrid Computational Intelligent Systems Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.Features:A Table of ContentsChapter 1 Creating ratings of agricultural universities based on their digital footprint Chapter 2 Mechatronic Complex’s Fuzzy System for Fixating Moving Objects Chapter 3 Quad Sensor-based Soil-Moisture Prediction using Machine Learning Chapter 4 Stability Analysis for a Diffusive Ratio-dependent Predator-prey Model involving two Delays Chapter 5 Analysis and Prediction of Physical Fitness Test Data of College Students Based on Grey Model Chapter 6 Analysis and Research on Book Borrowing Tendency Based on Apriori Algorithm Chapter 7 Performance Evaluation of Cargo Inspection Systems with the Function of Materials Recognition Chapter 8 Automated Medical Report Generation on Chest X-Ray Images using Co-Attention mechanism Chapter 9 An Energy Efficient Secured Arduino based Home Automation using Android Interface Chapter 10 A Multithreaded Android App to Notify Available `CoWIN’ Vaccination Slots to Multiple Recipients Chapter 11 Binary MMBAIS for Feature Selection Problem Chapter 12 Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques Chapter 13 Fragile Medical Image Watermarking using Auto-generated Adaptive Key based Encryption Chapter 14 Designing of a Solution Model for Global Warming and Climate Change using Machine Learning and Data Engineering Techniques Chapter 15 Human Age Estimation using sit-to-stand exercise Data-driven Decision Making by Neural Network Chapter 16 Feature Based Suicide Ideation Detection from Twitter Data Using Machine Learning Techniques Chapter 17 Analyzing the role of Indian Media during the second wave of COVID using Topic Modeling Chapter 18 Hardware Efficient FIR Filter Design using Fast Converging Flower Pollination Algorithm - A Case Study of denoising PCG Signal Chapter 19 Voice Recognition System Using Deep Learning Chapter 20 Modified Harris Hawk Optimization Algorithm for Multi-level Image Thresholding Chapter 21 An automatic probabilistic framework for detection and segmentation of tumor in brain MRI images Chapter 22 Comparative Study of Generative Adversarial Networks for Sensor Data Generation based Remaining Useful Life Classification Chapter 23 Towards a Framework for Implementation of Quantum-Inspired Evolutionary Algorithm on Noisy Intermediate Scale Quantum Devices (IBMQ) for Solving Knapsack Problems
£137.75
Taylor & Francis Ltd Deep Learning for Engineers
Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models.As a comprehensive guideline for applying deep learning models in practical settings, this book features an easy-to-understand coding structure using Python and PyTorch with an in-depth explanation of four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning. The fundamentals of convolutional neural network (CNN) and recurrent neural network (RNN) architectures and their practical implementations in science and engineering are also discussed.This book includes exercise problems for all case studies focusing on various fine-tuning approaches in deep learning. Science and engineering students at both undergraduate and graduate levels, academic researchers, and industry professionals will find the contents
£46.99
Taylor & Francis Ltd Converging Minds
Book SynopsisThis groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors.This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex
£73.14
Taylor & Francis Ltd A Concise Handbook of Mathematics Physics and
Book SynopsisA Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that most frequently occur in scientific and engineering applications and university education. The authors pay special attention to issues that many engineers and students find difficult to understand.The first part of the book contains chapters on arithmetic, elementary and analytic geometry, algebra, differential and integral calculus, functions of complex variables, integral transforms, ordinary and partial differential equations, special functions, and probability theory. The second part discusses molecular physics and thermodynamics, electricity and magnetism, oscillations and waves, optics, special relativity, quantum mechanics, atomic and nuclear physics, and elementary particles. The third part covers dimensional analysis and similarity, mechanics of point masses and riTrade ReviewConcise presentation (without proofs), mindfulness of differing mathematical backgrounds (avoidance of special terminology when possible), and emphasis on practical aspects (formulas, problems, methods, and laws that occur frequently in engineering applications) contribute to the usefulness of this single-volume reference. Many sections are self contained; subsections are arranged in increasing order of complexity; and a bibliography is included for each chapter. …—SciTech Book News, February 2011Table of ContentsMathematics. Physics. Elements of Applied and Engineering Sciences. Supplements. Index.
£45.59
Taylor & Francis Ltd Control of Nonlinear Systems via PI PD and PID
Book SynopsisThe purpose of this book is to give an exposition of recently adaptive PI/PD/PID control design for nonlinear systems. Since PI/PD/PID control is simple in structure and inexpensive in implementation, it has been undoubtedly the most widely employed controller in industry. In fact, PI/PD/PID controllers are sufficient for many control problems, particularly when process dynamics are benign and the performance requirements are modest. The book focuses on how to design general PI/PD/PID controller with self-tuning gains for different systems, which includes SISO nonlinear system, SISO nonaffine system and MIMO nonlinear system.Table of ContentsIntroduction. Classical PID Control. Adaptive PI Control for SISO Affine Systems. Generalized PI Control for SISO Nonaffine Systems. Adaptive PI Control for MIMO Nonlinear Systems. Adaptive PI Control for Strict Feedback Systems. Adaptive PID Control for MIMO Nonlinear Systems. PD Control Application to High Speed Trains. PID Control Application to Robotic Systems.
£147.25
Taylor & Francis Ltd Trackability and Tracking of General Linear
Book SynopsisTrackability and Tracking of General Linear Systems deals with five classes of the systems, three of which are new, begins with the definition of time together with a brief description of its crucial properties and with the principles of the physical uniqueness and continuity of physical variables. They are essential for the natural tracking control synthesis. The book presents further new results on the new compact, simple and elegant calculus that enabled the generalization of the transfer function matrix concept and of the state concept, the completion of the trackability and tracking concepts together with the proofs of the trackability and tracking criteria, as well as the natural tracking control synthesis for all five classes of the systems. Features â Crucially broadens the state space concept and the complex domain fundamentals of the dynamical systems to the control systems. â Addresses the knowledge and ability necessary to study and design control systems that will satisfy the fundamental control goal. â Outlines new effective mathematical means for effective complete analysis and synthesis of the control systems. â Upgrades, completes and essentially generalizes the control theory beyond the existing boundaries. â Provides information necessary to create and teach advanced inherently upgraded control courses.Table of ContentsIntroduction. IO systems. ISO systems. EISO systems. HISO systems. IIO systems. Fundamental control principle. Tracking fundamentals. Trackability fundamentals. Various systems trackability. Linear tracking control (LiTC). Lyapunov Tracking Control (LyTC). Natural Tracking Control (NTC). Appendices: Notation, Equivalent definitions, Example, Proofs, Transformations. Bibliography. Index.
£128.25
Taylor & Francis Ltd Reliability Engineering
Book SynopsisOver the last 50 years, the theory and the methods of reliability analysis have developed significantly. Therefore, it is very important to the reliability specialist to be informed of each reliability measure. This book will provide historical developments, current advancements, applications, numerous examples, and many case studies to bring the reader up-to-date with the advancements in this area.It covers reliability engineering in different branches, includes applications to reliability engineering practice, provides numerous examples to illustrate the theoretical results, and offers case studies along with real-world examples.This book is useful to engineering students, research scientist, and practitioners working in the field of reliability.Table of ContentsChapter 1 Preventive Maintenance Modeling: State of the ArtSylwia Werbińska-WojciechowskaChapter 2 Inspection Maintenance Modeling for Technical Systems:An OverviewSylwia Werbińska-WojciechowskaChapter 3 Application of Stochastic Processes in Degradation Modeling:An OverviewShah Limon, Ameneh Forouzandeh Shahraki,and Om Prakash YadavChapter 4 Building a Semi-automatic Design for Reliability Survey withSemantic Pattern RecognitionChristian Spreafico and Davide RussoChapter 5 Markov Chains and Stochastic Petri Nets for Availability andReliability ModelingPaulo Romero Martins Maciel, Jamilson Ramalho Dantas,and Rubens de Souza Matos JúniorChapter 6 An Overview of Fault Tree Analysis and Its Application in DualPurposed Cask Reliability in an Accident ScenarioMaritza Rodriguez Gual, Rogerio Pimenta Morão, LuizLeite da Silva, Edson Ribeiro, Claudio Cunha Lopes,and Vagner de OliveiraChapter 7 An Overview on Failure Rates in Maintenance PoliciesXufeng Zhao and Toshio NakagawaChapter 8 Accelerated Life Tests with Competing Failure Modes:An OverviewKanchan Jain and Preeti Wanti SrivastavaChapter 9 European Reliability StandardsMiguel Angel Navas, Carlos Sancho, and Jose CarpioChapter 10 Time-Variant Reliability Analysis Methods for DynamicStructuresZhonglai Wang and Shui YuChapter 11 Latent Variable Models in ReliabilityLaurent BordesChapter 12 Expanded Failure Modes and Effects Analysis: A DifferentApproach for System Reliability Assessment Perdomo Ojeda Manuel, Rivero Oliva Jesús, and SalomónLlanes JesúsChapter 13 Reliability Assessment and Probabilistic Data Analysis ofVehicle Components and Systems Zhigang WeiChapter 14 Maintenance Policy Analysis of a Marine Power GeneratingMulti-state System Thomas Markopoulos and Agapios N. PlatisChapter 15 Vulnerability Discovery and Patch Modeling: State of the Art Avinash K. Shrivastava, P. K. Kapur, and Misbah AnjumChapter 16 Signature Reliability Evaluations: An Overview of DifferentSystems Akshay Kumar, Mangey Ram, and S. B. Singh
£147.25
Taylor & Francis Ltd Optimization of Regional Industrial Structures
Book SynopsisBased on research projects supported by the National Natural Science Foundation of China and Nanjing University of Aeronautics and Astronautics, Optimization of Regional Industrial Structures and Applications provides an authoritative introduction to and survey of the cutting-edge research and applications in industrial structure optimization. Employing grey systems theory as its method of analysis, it integrates grey systems theory with industrial structure optimization theory to provide dynamic and efficient methods of measurement, analysis, and decision making. The authors cover several models of grey regional industrial structure, including grey correlation priority analysis, industrial structure order degree measurement model, regional leading industries grey assessment model and turnpike model. The first part of the book clarifies basic theory. This section covers the production and development of industrial structure theory, evolution laws of inTable of ContentsThe Forming and Development of Industrial Structure Theory. Industrial Strucutre’s Evolving Track and Law. The Key Influence Factors of Industrial Structure’s Upgrading. The Rationalization of Industrial Structure. The Heightening of Industrial Structure. The In-Output Analysis of Industrial Structure. Regional Industrial Structure. Choosing Regional Leading Industry. The Mathematics Models of Regional Industrial Structure’s Optimzing. The Research on Ma-an-Shan City’s Industrial Structure’s Optimization and Upgrading in "the 11th Five-Year Plan". The Emphasis, Ideas, and Strategy of Jiang Su Province’s Industrial Structure Adjustment. The Approach and Countermeasures of Achieving the Heightening of Industrial Structure in Jiang Su Province. The Approach and Countermeasures of the Heightening of Industrial Structure During "the 11th Five-Year Plan".
£133.00
Cambridge University Press Control System Dynamics
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£71.24
Cambridge University Press Geometric Control Theory 52 Cambridge Studies in Advanced Mathematics Series Number 52
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£65.02
Cambridge University Press Control System Dynamics
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£133.00
Cambridge University Press Geometric Control Theory
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£148.20
Cambridge University Press Linear Operators and Linear Systems An Analytical Approach to Control Theory 60 London Mathematical Society Student Texts Series Number 60
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£40.84
Cambridge University Press Control Techniques for Complex Networks
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£85.49
Cambridge University Press Automotive Control Systems
Book SynopsisThis engineering textbook is designed to introduce advanced control systems for vehicles, including advanced automotive concepts and the next generation of vehicles for ITS. For each automotive control problem considered, the authors emphasise the physics and underlying principles behind the control system concept and design.Table of ContentsPreface; Part I. Introduction and Background: 1. Introduction; 2. Automotive control system design process; 3. Review of engine modeling; 4. Review of vehicle dynamics; 5. Human factors and driver modeling; Part II. Powertrain Control Systems: 6. Air-to-fuel ratio control; 7. Control of spark timing; 8. Idle speed control; 9. Transmission control; 10. Control of hybrid vehicles; 11. Modeling and control of fuel cells for vehicles; Part III. Vehicle Control Systems: 12. Cruise and headway control; 13. Antilock brake systems and traction control; 14. Vehicle stability control; 15. Four wheel steering; 16. Active suspensions; Part IV. Intelligent Transportation Systems (ITS): 17. Overview of ITS; 18. Preventing collisions; 19. Automated highway systems (AHS) and platooning; 20. Lateral active safety systems and automated steering; Appendix A. Review of control theory fundamentals; Appendix B. Two-mass three DOF vehicle lateral/yaw/roll model.
£102.00
Cambridge University Press Convex Optimization of Power Systems
Book SynopsisThis mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.Table of Contents1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.
£69.34