Robust Systems Theory and Applications - Adaptive and Cognitive Dynamic Systems: Signal Processing, L by Ricardo S Sánchez-Peña & Mario Sznaier

Book Synopsis

A complete, up-to-date textbook on an increasingly importantsubject

Robust Systems Theory and Applications covers both the techniquesused in linear robust control analysis/synthesis and in robust(control-oriented) identification. The main analysis and designmethods are complemented by elaborated examples and a group ofworked-out applications that stress specific practical issues: nonlinearities, robustness against changes in operating conditions, uncertain infinite dimensional plants, and actuator and sensorlimitations. Designed expressly as a textbook for master's andfirst-year PhD students, this volume:
* Introduces basic robustness concepts in the context of SISOsystems described by Laplace transforms, establishing connectionswith well-known classical control techniques
* Presents the internal stabilization problem from two differentpoints of view: algebraic and state --space
* Introduces the four basic problems in robust control and the Loopshaping design method Presents the optimal *2 control problem froma different viewpoint, including an analysis of the robustnessproperties of *2 controllers and a treatment of the generalized *2problem
* Presents the *2 control problem using both the state-spaceapproach developed in the late 1980s and a Linear Matrix Inequalityapproach (developed in the mid 1990s) that encompasses more generalproblems
* Discusses more general types of uncertainties (parametric andmixed type) and -synthesis as a design tool
* Presents an overview of optimal,1 control theory and covers thefundamentals 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 examplesof robust control

From the Back Cover

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 µµ-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

About the Author

RICARDO S. SANCHEZ-PE?A, MSEE, PhD, is a researcher at the NationalCommission of Space Activities (CONAE) and Professor of ControlSystems at the School of Engineering at the University of BuenosAires, Argentina.

MARIO SZNAIER, MSEE, PhD, is an Associate Professor in theDepartment of Electrical Engineering at Pennsylvania StateUniversity, University Park, USA.