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Robust and Fault-Tolerant Control

Part of the Studies in Systems, Decision and Control Book Series (volume 197)

DOI: 10.1007/978-3-030-11869-3

ISBN: 978-3-030-11868-6

Publisher: Springer International Publishing - Springer Journals

Mar 17, 2019

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Chapter 1Introduction

Patan, Krzysztof

Pages: 1 –7

[Chapter constitutes a brief introduction to the control algorithms discussed in the book. The first section aims in presenting the scope of the book which is the application of artificial neural networks to the synthesis of robust and fault tolerant control. The second section describes the...
LitStream

Chapter 2Neural Networks

Patan, Krzysztof

Pages: 9 –58

[This chapter is devoted to the presentation of neural-network models in the context of control systems design. It is divided into four parts. The first two parts introduce the reader to the theory of static and dynamic neural network structures. These parts can be treated as a quick review of...
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Chapter 3Robust and Fault-Tolerant Control

Patan, Krzysztof

Pages: 59 –76

[The chapter introduces the reader into the theory of automatic control, focusing on nonlinear control schemes developed by means of artificial neural networks. It contains essential information on direct control based on neural networks, model reference adaptive control, feed-forward control,...
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Chapter 4Model Predictive Control

Patan, Krzysztof

Pages: 77 –129

[The chapter contains the results of the original research dealing with robust and fault-tolerant predictive control schemes. The first part of the chapter is devoted to nonlinear predictive control developed by means of neural networks. Some of the most important issues connected with...
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Chapter 5Control Reconfiguration

Patan, Krzysztof

Pages: 131 –167

[The chapter is a description of our contribution in the form of algorithms for fault accommodation and control reconfiguration. The proposed FTC system detects a fault, estimates it and corrects a control law in order to compensate the fault effect observed in the control system. In order to...
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Chapter 6Iterative Learning Control

Patan, Krzysztof

Pages: 169 –201

[The chapter presents original research results in the area of nonlinear iterative-learning control. We propose a novel ILC scheme developed using neural networks. The following two cases are described: dynamic and static learning controllers and in both cases the controller is designed in such a...
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Chapter 7Concluding Remarks and Further Research Directions

Patan, Krzysztof

Pages: 203 –205

[Owing to their powerful properties, artificial neural networks have become a popular choice in terms of problems occurring in control theory. Furthermore, the following two trends in modern control: robust control and fault-tolerant control can be effectively realized using appropriate...

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