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Adaptive Robust Control Systems

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Abstract
This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines.

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Series Title

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Call Number

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Publisher

: ., 2018

Collation

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Language

ISBN/ISSN

9789535140702

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

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Specific Detail Info

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Statement of Responsibility

Anh Tuan, Le (editor)

Other Information

Cataloger

Siti

Source

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Validator

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Digital Object Identifier (DOI)

https://directory.doabooks.org/handle/20.500.12854/129888

Journal Volume

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