Overview
- Covers developments in bilinear systems theory
- Focuses on the control of open physical processes functioning in a non-equilibrium mode
- Emphasis is on three primary disciplines: modern differential geometry, control of dynamical systems, and optimization theory
- Includes applications to the fields of quantum and molecular computing, control of physical processes, biophysics, superconducting magnetism, and physical information science
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 11)
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Table of contents (8 chapters)
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Bibliographic Information
Book Title: Optimization and Control of Bilinear Systems
Book Subtitle: Theory, Algorithms, and Applications
Authors: Panos M. Pardalos, Vitaliy Yatsenko
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-73669-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-73668-6Published: 24 November 2008
Softcover ISBN: 978-1-4419-4468-9Published: 08 December 2010
eBook ISBN: 978-0-387-73669-3Published: 14 March 2010
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XXVI, 370
Number of Illustrations: 40 b/w illustrations
Topics: Systems Theory, Control, Optimization, Calculus of Variations and Optimal Control; Optimization, Vibration, Dynamical Systems, Control, Quantum Physics, Quantum Information Technology, Spintronics