Nonlinear Systems : Analysis, Stability, and Control /

There has been a great deal of excitement over the last few years concerning the emergence of new mathematical techniques for the analysis and control of nonlinear systems: witness the emergence of a set of simplified tools for the analysis of bifurcations, chaos and other simplified tools for the a...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Sastry, Shankar
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 1999
Series:Interdisciplinary applied mathematics ; 10.
Subjects:
Local Note:ProQuest Ebook Central

MARC

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245 1 0 |a Nonlinear Systems :  |b Analysis, Stability, and Control /  |c by Shankar Sastry. 
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490 1 |a Interdisciplinary Applied Mathematics,  |x 0939-6047 ;  |v 10 
504 |a Includes bibliographical references and index. 
505 0 |a Linear vs. Nonlinear -- Planar Dynamical Systems -- Mathematical Background -- Input -- Output Analysis -- Lyapunov Stability Theory -- Applications of Lyapunov Theory -- Dynamical Systems and Bifurcations -- Basics of Differential Geometry -- Linearization by State Feedback -- Design Examples using Linearization -- Geometric Nonlinear Control -- Exterior Differential Systems in Control. 
520 |a There has been a great deal of excitement over the last few years concerning the emergence of new mathematical techniques for the analysis and control of nonlinear systems: witness the emergence of a set of simplified tools for the analysis of bifurcations, chaos and other simplified tools for the analysis of bifurcations, chaos and other complicated dynamical behaviour and the development of a comprehensive theory of nonlinear control. Coupled with this set of analytic advances has been the vast increase in computational power available both for the simulation of nonlinear systems as well as for the implementation in real time of sophisticated, real-time nonlinear control laws. Thus, technological advances have bolstered the impact of analytic advances and produced a tremendous variety of new problems and applications which are nonlinear in an essential way. This book lays out in a concise mathematical framework the tools and methods of analysis which underlie this diversity of applications. The material presented in this book is culled from different 1st year graduate courses that the author has taught at MIT and at Berkeley. 
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