Optimal Adaptive Cooperative Control for Nonlinear Multiagent Systems / by Xin Wang, Huaqing Li, Tingwen Huang.

Format:

Book

Author/Creator:

Wang, Xin.

Contributor:

Li, Huaqing.

Huang, Tingwen.

Series:

Intelligent Technologies and Robotics Series

Language:

English

Subjects (All):

Automatic control.

Computational intelligence.

Control and Systems Theory.

Computational Intelligence.

Local Subjects:

Control and Systems Theory.

Computational Intelligence.

Physical Description:

1 online resource (309 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book provides a systematic and in-depth introduction to distributed optimal adaptive cooperative control for multiagent systems from a theoretical perspective. The major research topics include: adaptive neural networks-based control schemes under multiconstraints, adaptive optimal control, event-triggered adaptive optimal control and data-based reinforcement learning control. The comprehensive and systematic treatment of adaptive optimal control in multiagent systems is one of the major features of the book, which is particularly suitable for readers who are interested in learning principles and methods for dealing with control resource constraints in multiagent systems and designing energy-saving control protocols. The book can benefit researchers, engineers, and graduate students in the fields of complex networks, smart grids, applied mathematics, electrical and electronic engineering, computer engineering, etc.

Contents:

Introduction

Neural Network-based Adaptive Tracking Control for Nonlinear Multiagent Systems: The Observer Case

Event-Triggered Cooperative Adaptive Neural Control for Cyberphysical Systems with Unknown State

Event-triggered Adaptive Fault-tolerant Control for Nonlinear Multiagent Systems with Sensor and Actuator Faults

Event-triggered Adaptive Finite-time Control for Switched Cyberphysical Systems with Uncertain Deception Attacks

Adaptive Control for Uncertain Nonlinear Systems With Dynamic Full State Constraints: The SMDO Approach

Observer-Based Event-Triggered Adaptive Control for Nonlinear Multiagent Systems with Unknown States and Disturbances

Optimized Adaptive Finite-Time Consensus Control for Stochastic Nonlinear Multiagent Systems with Non-affine Nonlinear Faults

Data-Driven Fault-Tolerant Reinforcement Learning Containment Control for Nonlinear Multiagent Systems.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9529-64-6

9789819529643

OCLC:

1565349829