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Robust and fault-tolerant control = ...

Patan, Krzysztof.

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Robust and fault-tolerant control = neural-network-based solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust and fault-tolerant control/ by Krzysztof Patan.
Reminder of title:	neural-network-based solutions /
Author:	Patan, Krzysztof.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxviii, 209 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Neural Networks -- Robust and Fault-Tolerant Control -- Model Predictive Control -- Control Reconfiguration -- Iterative Learning Control -- Concluding Remarks and Further Research Directions.
Contained By:	Springer eBooks
Subject:	Fault tolerance (Engineering) -
Online resource:	https://doi.org/10.1007/978-3-030-11869-3
ISBN:	9783030118693

Robust and fault-tolerant control = neural-network-based solutions /
Patan, Krzysztof.

Robust and fault-tolerant controlneural-network-based solutions /[electronic resource] :by Krzysztof Patan. - Cham :Springer International Publishing :2019. - xxviii, 209 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1972198-4182 ;. - Studies in systems, decision and control ;v.197..

Introduction -- Neural Networks -- Robust and Fault-Tolerant Control -- Model Predictive Control -- Control Reconfiguration -- Iterative Learning Control -- Concluding Remarks and Further Research Directions.

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.

ISBN: 9783030118693

Standard No.: 10.1007/978-3-030-11869-3doiSubjects--Topical Terms:

1002515
Fault tolerance (Engineering)

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Robust and fault-tolerant control = neural-network-based solutions /
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505 0 $a Introduction -- Neural Networks -- Robust and Fault-Tolerant Control -- Model Predictive Control -- Control Reconfiguration -- Iterative Learning Control -- Concluding Remarks and Further Research Directions.
520 $a 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.
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