Robust Systems Theory and Applications. Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

  • ID: 2172482
  • Book
  • 490 Pages
  • John Wiley and Sons Ltd
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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
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SISO Systems.

Stabilization.

Loop Shaping.

H2 Optimal Control.

H infinity Control.

Structured Uncertainty.

L?1 Control.

Model Order Reduction.

Robust Identification.

Application Examples.

Appendices.
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Ricardo S. Sánchez–Peña
Mario Sznaier
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