Electronic Resource

Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control

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Penilaian

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Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control is a systematic examination of methods used to overcome the inevitable system uncertainties arising when a fault estimation (FE) function and a fault-tolerant controller interact as they are employed together to compensate for system faults and maintain robustly acceptable system performance. It covers the important subject of robust integration of FE and FTC with the aim of guaranteeing closed-loop stability. The reader’s understanding of the theory is supported by the extensive use of tutorial examples, including some MATLAB®-based material available from the Springer website and by industrial-applications-based material.

The text is structured into three parts:

Part I examines the basic concepts of FE and FTC, providing extensive insight into the importance of and challenges involved in their integration;
Part II describes five effective strategies for the integration of FE and FTC: sequential, iterative, simultaneous, adaptive-decoupling, and robust decoupling; and
Part III begins to extend the proposed strategies to nonlinear and large-scale systems and covers their application in the fields of renewable energy, robotics and networked systems.
The strategies presented are applicable to a broad range of control problems, because in the absence of faults the FE-based FTC naturally reverts to conventional observer-based control.
The book is a useful resource for researchers and engineers working in the area of fault-tolerant control systems, and supplementary material for a graduate- or postgraduate-level course on fault diagnosis and FTC.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001193	EB0001799	620.004 4 Lan r	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

620.004 4 Lan r

Publisher

: Springer Cham., 2020

Collation

xvi, 268p.:Ill

Language

English

ISBN/ISSN

978-3-030-58760-4

Classification

620.004 4

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Mathematical Models

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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