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Shen, Qikun.

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Fault diagnosis and fault-tolerant control of nonlinear systems with higher system input powers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fault diagnosis and fault-tolerant control of nonlinear systems with higher system input powers/ by Qikun Shen, Dezhi Xu.
Author:	Shen, Qikun.
other author:	Xu, Dezhi.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xv, 192 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Fault-tolerant computing. -
Online resource:	https://doi.org/10.1007/978-981-96-1773-9
ISBN:	9789819617739

Fault diagnosis and fault-tolerant control of nonlinear systems with higher system input powers
Shen, Qikun.

Fault diagnosis and fault-tolerant control of nonlinear systems with higher system input powers[electronic resource] /by Qikun Shen, Dezhi Xu. - Singapore :Springer Nature Singapore :2025. - xv, 192 p. :ill. (chiefly color), digital ;24 cm. - Intelligent control and learning systems,v. 202662-5466 ;. - Intelligent control and learning systems ;v. 20..

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.

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.

ISBN: 9789819617739

Standard No.: 10.1007/978-981-96-1773-9doiSubjects--Topical Terms:

649213
Fault-tolerant computing.

LC Class. No.: A76.9.F38

Dewey Class. No.: 004.2

Fault diagnosis and fault-tolerant control of nonlinear systems with higher system input powers
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505 0 $a 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.
520 $a 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.
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