Robust and Fault-Tolerant Control

Neural-Network-Based Solutions

  • Krzysztof Patan

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 197)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Krzysztof Patan
    Pages 1-7
  3. Krzysztof Patan
    Pages 9-58
  4. Krzysztof Patan
    Pages 59-76
  5. Krzysztof Patan
    Pages 77-129
  6. Krzysztof Patan
    Pages 131-167
  7. Krzysztof Patan
    Pages 169-201
  8. Back Matter
    Pages 207-209

About this book


Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include:
  • a comprehensive review of neural network architectures with possible applications in system modelling and control;
  • a concise introduction to robust and fault-tolerant control;
  • step-by-step presentation of the control approaches proposed;
  • an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and
  • a large number of figures and tables facilitating the performance analysis of the control approaches described.
The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.


Control System Synthesis Artificial Neural Networks Dynamic Modelling Fault-tolerant Control Systems Robust Control Uncertainty Modelling

Authors and affiliations

  • Krzysztof Patan
    • 1
  1. 1.Institute of Control and Computation EngineeringUniversity of Zielona GóraZielona GóraPoland

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