Authors:
- Exploits the strengths of differential flatness to produce more accurate and computationally quick nonlinear filters
- Extends the class of nonlinear systems that can be treated with adaptive neuro-fuzzy control
- Simulations demonstrate the potential power of new filters and adaptive controllers in a wide range of electromechanical systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 25)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows how differential flatness theory can provide solutions to complicated control problems, such as those appearing in highly nonlinear multivariable systems and distributed-parameter systems. Furthermore, it shows that differential flatness theory makes it possible to perform filtering and state estimation for a wide class of nonlinear dynamical systems and provides several descriptive test cases.
The book focuses on the design of nonlinear adaptive controllers and nonlinear filters, using exact linearization based on differential flatness theory. The adaptive controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop under uncertainty and varying operating conditions. The filters obtained outperform other nonlinear filters in terms of accuracy of estimation and computation speed. The book presents a series of application examples to confirm the efficiency of the proposed nonlinear filtering and adaptive control schemes for various electromechanical systems. These include:
· industrial robots;
· mobile robots and autonomous vehicles;
· electric power generation;
· electric motors and actuators;
· power electronics;· internal combustion engines;
· distributed-parameter systems; and
· communication systems.
Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.
Authors and Affiliations
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Unit of Industrial Automation, Industrial Systems Institute, 26504 Rion Patras, Greece
Gerasimos G. Rigatos
About the author
Bibliographic Information
Book Title: Nonlinear Control and Filtering Using Differential Flatness Approaches
Book Subtitle: Applications to Electromechanical Systems
Authors: Gerasimos G. Rigatos
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-16420-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-16419-9Published: 25 June 2015
Softcover ISBN: 978-3-319-36125-3Published: 13 October 2016
eBook ISBN: 978-3-319-16420-5Published: 05 June 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXIX, 736
Number of Illustrations: 56 b/w illustrations, 319 illustrations in colour
Topics: Control and Systems Theory, Mechatronics, Artificial Intelligence, Computational Intelligence