Authors:
- Introduces novel approaches to nonlinear control systems
- Self-contained presentation suitable also for newcomers to the field
- Contains many worked examples
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
This book acquaints readers with recent developments in dynamical systems theory and its applications, with a strong focus on the control and estimation of nonlinear systems.
Several algorithms are proposed and worked out for a set of model systems, in particular so-called input-affine or bilinear systems, which can serve to approximate a wide class of nonlinear control systems. These can either take the form of state space models or be represented by an input-output equation.
The approach taken here further highlights the role of modern mathematical and conceptual tools, including differential algebraic theory, observer design for nonlinear systems and generalized canonical forms.
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Authors and Affiliations
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Departamento de Control Automatico, CINVESTAV-IPN, Mexico, Mexico
Rafael Martínez-Guerra, Christopher Diego Cruz-Ancona
Bibliographic Information
Book Title: Algorithms of Estimation for Nonlinear Systems
Book Subtitle: A Differential and Algebraic Viewpoint
Authors: Rafael Martínez-Guerra, Christopher Diego Cruz-Ancona
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-319-53040-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-53039-0Published: 18 April 2017
Softcover ISBN: 978-3-319-85046-7Published: 19 July 2018
eBook ISBN: 978-3-319-53040-6Published: 04 April 2017
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XX, 197
Number of Illustrations: 48 b/w illustrations, 10 illustrations in colour
Topics: Applications of Nonlinear Dynamics and Chaos Theory, Vibration, Dynamical Systems, Control, Dynamical Systems and Ergodic Theory, Statistical Physics and Dynamical Systems