Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems (Automation and Control Engineering)

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Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems (Automation and Control Engineering)

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  • 製本 Hardcover:ハードカバー版/ページ数 204 p.
  • 言語 ENG
  • 商品コード 9781032495460
  • DDC分類 006.30285436

Full Description

Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.

Based on the basic graph theory and adaptive backstepping control, this monograph:

· Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control

· Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers

· Explores adaptive finite-time consensus for uncertain nonlinear systems

· Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback

· Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification

· Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communication

Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources.

Contents

Chapter 1 Introduction

Chapter 2 Preliminaries

SECTION I Consensus Control under Directed

Graph

Chapter 3 Distributed Adaptive State Feedback Control with Linearly

Parametric Reference

Chapter 4 Auxiliary Filters based Distributed Adaptive Consensus Control

Chapter 5 Hierarchical Decomposition based Distributed Adaptive Consensus

Control

SECTION II Finite-time Consensus Control

Chapter 6 Adaptive Finite-time Consensus for Uncertain Nonlinear Mechanical

Systems

SECTION III Consensus Control with

Event-triggered Communication

Chapter 7 Distributed Event-triggered Adaptive Control: Leader-following

Case

Chapter 8 Distributed Event-triggered Adaptive Control: Leaderless Case

Chapter 9 Distributed Event-triggered Adaptive Output Feedback Control

SECTION IV Applications

Chapter 10 Distributed Adaptive Formation Control of Nonholonomic

Mobile Robots

Chapter 11 Distributed Event-triggered Adaptive Attitude Synchronization of

Multiple Spacecraft

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