Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers (Intelligent Control and Learning Systems)

Shen, Qikun/ Xu, Dezhi

Springer Nature Switzerland AG（2025/03発売）

• 製本 Hardcover:ハードカバー版／ページ数 208 p.
• 言語 ENG
• 商品コード 9789819617722

Full Description

This book provides recent theoretical results and applications of the fault diagnosis and fault-tolerant control for the nonlinear systems with higher input powers. Combining adaptive control technique, fuzzy logic systems, neural networks, Observer-based methods with the other control technique or approaches, this book investigates the fault diagnosis and fault-tolerant control problem of the nonlinear systems with higher input powers and proposes the corresponding diagnostic mechanisms, Fault estimation algorithm and fault-tolerant control schemes. This book intends to provide the readers a good understanding on fault diagnosis and fault-tolerant control of the nonlinear systems with higher input powers based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear systems with higher input powers for researchers devoting to various areas of fault-tolerant control theory, as well as a material for graduate and undergraduate students interested in nonlinear system control, especially fault diagnosis and fault-tolerant control, and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and so on.

Contents

Introduction.- Adaptive Observer Based Tracking Control and Fault Detection with Known Higher Input Powers.- Fuzzy Adaptive Fault Tolerant Backstepping Supervisory Control for Uncertain Systems with Known Higher Input Powers.- Stability Control, Fault Detection and Estimation with Unknown System Input Power.- Adaptive Fault Tolerant Output Tracking Backstepping Control with Unknown Higher Input Powers.- Robust Fault-Tolerant Adaptive Tracking Control with Unknown System Input Powers and Dynamic Disturbances.- Adaptive Neural Distributed Fault Tolerant Consensus with Unmodeled Dynamics and Unknown Higher Input Power.- Distributed Fuzzy FTC for 2D Nonlinear Mass with Unknown Input Powers.- Conclusion and Future Research Directions.