Cooperative Control of Multi-agent Systems Cooperative Control of Multi-agent Systems
Advances in Industrial Control

Cooperative Control of Multi-agent Systems

Distributed-Observer and Distributed-Internal-Model Approaches

He Cai and Others
    • 129,99 €
    • 129,99 €

Publisher Description

The main focus of this book is a pair of cooperative control problems: consensus and cooperative output regulation. Its emphasis is on complex multi-agent systems characterized by strong nonlinearity, large uncertainty, heterogeneity, external disturbances and jointly connected switching communication topologies. The cooperative output regulation problem is a generalization of the classical output regulation problem to multi-agent systems and it offers a general framework for handling a variety of cooperative control problems such as consensus, formation, tracking and disturbance rejection.

The book strikes a balance between rigorous mathematical proof and engineering practicality. Every design method is systematically presented together with illustrative examples and all the designs are validated by computer simulation. The methods presented are applied to several practical problems, among them the leader-following consensus problem of multiple Euler–Lagrange systems, attitude synchronization of multiple rigid-body systems, and power regulation of microgrids. The book gives a detailed exposition of two approaches to the design of distributed control laws for complex multi-agent systems—the distributed-observer and distributed-internal-model approaches. Mastering both will enhance a reader’s ability to deal with a variety of complex real-world problems.

Cooperative Control of Multi-agent Systems can be used as a textbook for graduate students in engineering, sciences, and mathematics, and can also serve as a reference book for practitioners and theorists in both industry and academia. Some knowledge of the fundamentals of linear algebra, calculus, and linear systems are needed to gain maximum benefit from this book.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

GENRE
Professional & Technical
RELEASED
2022
31 May
LANGUAGE
EN
English
LENGTH
409
Pages
PUBLISHER
Springer International Publishing
SIZE
42.8
MB

Other Books in This Series

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
2024
Process Control for Pumps and Compressors Process Control for Pumps and Compressors
2024
Control of Autonomous Aerial Vehicles Control of Autonomous Aerial Vehicles
2023
Reinforcement Learning Reinforcement Learning
2023
Control of Variable-Geometry Vehicle Suspensions Control of Variable-Geometry Vehicle Suspensions
2023
Advanced Model Predictive Control for Autonomous Marine Vehicles Advanced Model Predictive Control for Autonomous Marine Vehicles
2023