Authors:
- First book to study the implementation issues of predictor feedback and provide formulas for the uncertainty gains of time-delay systems with large input and/or measurement delays
- All results, along with the necessary assumptions, are clearly stated as theorems, corollaries, or lemmas immediately followed by a very concise proof
- Material is presented in a well-organized and accessible manner despite the inherent complexity of the topic
- Includes supplementary material: sn.pub/extras
Part of the book series: Systems & Control: Foundations & Applications (SCFA)
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Table of contents (8 chapters)
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Front Matter
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Linear Systems Under Predictor Feedback
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Front Matter
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Nonlinear Systems Under Predictor Feedback
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Front Matter
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Extensions of Predictor Feedback
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Front Matter
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Back Matter
About this book
Predictor feedback for linear time-invariant (LTI) systems is presented in Part I to provide a solid foundation on the necessary concepts, as LTI systems pose fewer technical difficulties than nonlinear systems. Part II extends all of the concepts to nonlinear time-invariant systems. Finally, Part III explores extensions of predictor feedback to systems described by integral delay equations and to discrete-time systems.
The book’s core is the design of control and observer algorithms with which global stabilization, guaranteed in the previous literature with idealized (but non-implementable) predictors, is preserved with approximate predictors developed in the book.
An applications-driven engineer will find a large number of explicit formulae, which are given throughout the book to assist in the application of the theory to a variety of control problems. A mathematician will find sophisticated new proof techniques, which are developed for the purpose of providing global stability guarantees for the nonlinear infinite-dimensional delay system under feedback laws employing practically implementable approximate predictors.
Researchers working on global stabilization problems for time-delay systems will find this monograph to be a helpful summary of the state of the art, while graduate students in the broad field of systems and control will advance their skills in nonlinear control design and the analysis of nonlinear delay systems.
Authors and Affiliations
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Department of Mathematics, National Technical University of Athens, Athens, Greece
Iasson Karafyllis
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Mechanical & Aerospace Engineering, University of California, San Diego, La Jolla, USA
Miroslav Krstic
Bibliographic Information
Book Title: Predictor Feedback for Delay Systems: Implementations and Approximations
Authors: Iasson Karafyllis, Miroslav Krstic
Series Title: Systems & Control: Foundations & Applications
DOI: https://doi.org/10.1007/978-3-319-42378-4
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, CH 2017
Hardcover ISBN: 978-3-319-42377-7Published: 13 March 2017
Softcover ISBN: 978-3-319-82564-9Published: 17 July 2018
eBook ISBN: 978-3-319-42378-4Published: 06 March 2017
Series ISSN: 2324-9749
Series E-ISSN: 2324-9757
Edition Number: 1
Number of Pages: XVII, 297
Number of Illustrations: 1 b/w illustrations, 11 illustrations in colour