Description

Book Synopsis

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.

Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.

About the Authors

Chu

Table of Contents

1. Introduction and Mathematical Background 2. Stabilization of Single Systems with Input Delay: Prediction and Observation 3. Robust Consensus Control for Uncertian Linear Multi-Agent Systems with Input Delay 4. H∞ Consensus Control of Linear Multi-Agent Systems with Input Delay 5. Consensus Control of Nonlinear Multi-Agent Systems with Input Delay 6. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictor Feedback Approach 7. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictive Observation Approach 8. Formation Control with Disturbance Rejection for a Class of Lipschitz Nonlinear Systems 9. Fixed-Time Formation Control of Input-Delayed Multi-Agent Systems: Design and Experiments 10. Cascade Structure Predictive Observer Design for Consensus Control with Applications to UAVs Formation Flying

Robust Cooperative Control of MultiAgent Systems

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    A Paperback by Chunyan Wang, Zongyu Zuo, Jianan Wang

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      Book details

      Publisher Taylor & Francis
      Published 31 May 2023
      ISBN-13 9780367758233
      978-0367758233
      ISBN-10 0367758237

      Description

      Book Synopsis

      This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.

      Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.

      About the Authors

      Chu

      Table of Contents

      1. Introduction and Mathematical Background 2. Stabilization of Single Systems with Input Delay: Prediction and Observation 3. Robust Consensus Control for Uncertian Linear Multi-Agent Systems with Input Delay 4. H∞ Consensus Control of Linear Multi-Agent Systems with Input Delay 5. Consensus Control of Nonlinear Multi-Agent Systems with Input Delay 6. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictor Feedback Approach 7. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictive Observation Approach 8. Formation Control with Disturbance Rejection for a Class of Lipschitz Nonlinear Systems 9. Fixed-Time Formation Control of Input-Delayed Multi-Agent Systems: Design and Experiments 10. Cascade Structure Predictive Observer Design for Consensus Control with Applications to UAVs Formation Flying

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