Nonlinear Control in the Year 2000 | Volume 1. This item is unavailable.
Language: English
Published by Springer, 2000
- Softcover
- New

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Nonlinear Control in the Year 2000 | Volume 1 | Alberto Isidori (u. a.) | Taschenbuch | Lecture Notes in Control and Information Sciences | xiv | Englisch | 2000 | Springer | EAN 9781852333638 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Seller Inventory # 105101675
- Title
- Nonlinear Control in the Year 2000 | Volume 1
- Author
- Alberto Isidori (u. a.)
- Publisher
- Springer
- Publication year
- 2000
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1852333634
- ISBN 13
- 9781852333638
- Item weight
- 912 grams
- Dimensions
- 233 x 155 x 33 mm
- Seller catalogs
- Bücher
Control of nonlinear systems, one of the most active research areas in control theory, has always been a domain of natural convergence of research interests in applied mathematics and control engineering. The theory has developed from the early phase of its history, when the basic tool was essentially only the Lyapunov second method, to the present day, where the mathematics ranges from differential geometry, calculus of variations, ordinary and partial differential equations, functional analysis, abstract algebra and stochastic processes, while the applications to advanced engineering design span a wide variety of topics, which include nonlinear controllability and observability, optimal control, state estimation, stability and stabilization, feedback equivalence, motion planning, noninteracting control, disturbance attenuation, asymptotic tracking. The reader will find in the book methods and results which cover a wide variety of problems: starting from pure mathematics (like recent fundamental results on (non)analycity of small balls and the distance function), through its applications to all just mentioned topics of nonlinear control, up to industrial applications of nonlinear control algorithms.
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