Robust Cooperative Control of Multi-Agent Systems
A Prediction and Observation Prospective
- Available for pre-order. Item will ship after April 28, 2021
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 predictive 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.
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
Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.
Zongyu Zuo is an Associate Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.
JiananWang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.
Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, UK.