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Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

LNEE: FAULT DGNSS FAULT-TLRNT CNTRL STRTGS NON-LNR SYS

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Computing & Information Technology

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B2B GT

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B2B & B2C

This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.

POST SECONDARY FOUR YEAR

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COLSR

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Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Dedication.
Preface.
Contents.
Symbols.
Abbreviations.
1: Introduction.
2: Robust Fault Diagnosis.
3: Unknown Input Observers and Filters.
4: Neural Network-Based Approaches to Fault Diagnosis.
5: Integrated Fault Diagnosis and Control.
6: Integrated Fault Diagnosis and Control: Principles and Design Strategies.
7: Robust H&#x221E;-Based Approaches.
8: Fuzzy Multiple-Model Approach to Fault-Tolerant Control.
9: Conclusions and Future Research Directions.
Index.

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems.css-1p8rvzy{position:absolute;padding-left:8px;}

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems