Overview
- New approach used, with many design techniques unique to this book
- Minimal prerequisites: only a basic course in linear systems theory is needed
- For a broad audience of graduate students, practitioners, and researchers in engineering, mathematics, and optimal control theory
Part of the book series: Systems & Control: Foundations & Applications (SCFA)
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Table of contents (10 chapters)
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Front Matter
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Optimal Control and Sliding Mode
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Front Matter
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Min–Max Output Robust LQ Control
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Front Matter
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Practical Examples
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Front Matter
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Back Matter
Keywords
About this book
Featuring original research from well-known experts in the field of sliding mode control, this monograph presents new design schemes for implementing LQ control solutions in situations where the output system is the only information provided about the state of the plant. This new design works under the restrictions of matched disturbances without losing its desirable features. On the cutting-edge of optimal control research, Robust Output LQ Optimal Control via Integral Sliding Modes is an excellent resource for both graduate students and professionals involved in linear systems, optimal control, observation of systems with unknown inputs, and automatization.
In the theory of optimal control, the linear quadratic (LQ) optimal problem plays an important role due to its physical meaning, and its solution is easily given by an algebraic Riccati equation. This solution turns out to be restrictive, however, because of two assumptions: the system must be free from disturbances and the entire state vector must be known. A new technique, called output integral sliding modes, eliminates the effects of disturbances acting in the same subspace as the control. By using LQ-optimal control together with integral sliding modes, the former is made robust and based on output information only. Thus optimal control theory improves its applicability.
Authors and Affiliations
Bibliographic Information
Book Title: Robust Output LQ Optimal Control via Integral Sliding Modes
Authors: Leonid Fridman, Alexander Poznyak, Francisco Javier Bejarano
Series Title: Systems & Control: Foundations & Applications
DOI: https://doi.org/10.1007/978-0-8176-4962-3
Publisher: Birkhäuser New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-0-8176-4961-6Published: 06 March 2014
Softcover ISBN: 978-1-4939-5115-4Published: 23 August 2016
eBook ISBN: 978-0-8176-4962-3Published: 08 July 2014
Series ISSN: 2324-9749
Series E-ISSN: 2324-9757
Edition Number: 1
Number of Pages: XII, 149
Number of Illustrations: 12 b/w illustrations, 30 illustrations in colour
Topics: Systems Theory, Control, Control and Systems Theory, Calculus of Variations and Optimal Control; Optimization, Mathematical and Computational Engineering, Engineering Design, Vibration, Dynamical Systems, Control