Книга Robust Systems Theory and Applications Ricardo S. Sanchez-Pena

Robust Systems Theory and Applications

Език: Английски език
Корици: С твърди корици
Издател: John Wiley & Sons Inc
Наличност: Външен склад
Изпращаме след 9-15 дни
203.78 398.56 лв
A complete, up-to-date textbook on an increasingly important subject Robust Systems Theory and Appl...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
1998
страници
490
EAN
9780471176275
ISBN
0471176273
Enbook ID
04888154
Издател
Теглоt
924
Размери
166 x 241 x 32

Пълно описание

A complete, up-to-date textbook on an increasingly important subject Robust Systems Theory and Applications covers both the techniques used in linear robust control analysis/synthesis and in robust (control-oriented) identification. The main analysis and design methods are complemented by elaborated examples and a group of worked-out applications that stress specific practical issues: nonlinearities, robustness against changes in operating conditions, uncertain infinite dimensional plants, and actuator and sensor limitations. Designed expressly as a textbook for master's and first-year PhD students, this volume: Introduces basic robustness concepts in the context of SISO systems described by Laplace transforms, establishing connections with well-known classical control techniques Presents the internal stabilization problem from two different points of view: algebraic and state --space Introduces the four basic problems in robust control and the Loop shaping design method Presents the optimal 2 control problem from a different viewpoint, including an analysis of the robustness properties of 2 controllers and a treatment of the generalized 2 problem Presents the 2 control problem using both the state-space approach developed in the late 1980s and a Linear Matrix Inequality approach (developed in the mid 1990s) that encompasses more general problems Discusses more general types of uncertainties (parametric and mixed type) and ??-synthesis as a design tool Presents an overview of optimal ,1 control theory and covers the fundamentals of its star-norm approximation Presents the basic tools of model order reduction Provides a tutorial on robust identification Offers numerous end-of-chapter problems and worked-out examples of robust control

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