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Engineering - Control Engineering | Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems - Analytical and

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

Analytical and Soft Computing Approaches

Witczak, Marcin

2014, XVI, 229 p. 117 illus.

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  • Presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework
  • Starts from advanced state estimation strategies up to modern soft computing by employing
  • Show to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models

 

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.

Content Level » Research

Keywords » Fault Diagnosis - Fault-Tolerant Control Strategies - Fuzzy Systems - Non-Linear Systems - Soft Computing - Takagi–Sugeno Models

Related subjects » Artificial Intelligence - Complexity - Computational Intelligence and Complexity - Control Engineering

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