Overview
- Facilitates the interaction between leading mathematical experts in nonsmooth analysis and engineers who are increasingly using nonsmooth analytic tools
- Authoritative surveys by world experts on control theory and control engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 301)
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Table of contents (24 papers)
Keywords
About this book
This edited book contains selected papers presented at the Louisiana Conference on Mathematical Control Theory (MCT'03), which brought together over 35 prominent world experts in mathematical control theory and its applications. The book forms a well-integrated exploration of those areas of mathematical control theory in which nonsmooth analysis is having a major impact. These include necessary and sufficient conditions in optimal control, Lyapunov characterizations of stability, input-to-state stability, the construction of feedback mechanisms, viscosity solutions of Hamilton-Jacobi equations, invariance, approximation theory, impulsive systems, computational issues for nonlinear systems, and other topics of interest to mathematicians and control engineers. The book has a strong interdisciplinary component and was designed to facilitate the interaction between leading mathematical experts in nonsmooth analysis and engineers who are increasingly using nonsmooth analytic tools.
Bibliographic Information
Book Title: Optimal Control, Stabilization and Nonsmooth Analysis
Editors: Marcio S. Queiroz, Michael Malisoff, Peter Wolenski
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/b12103
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-21330-7Published: 20 April 2004
eBook ISBN: 978-3-540-39983-4Published: 04 May 2004
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XI, 361
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Systems Theory, Control, Complexity, Vibration, Dynamical Systems, Control