Franco Blanchini, Stefano Miani0817632557, 9780817632557, 9780817646066
The work presents several established and potentially new applications, along with numerical examples and case studies. A key theme of the presentation is the trade-off between exact (but computationally intensive) and approximate (but conservative) solutions to problems. Mathematical language is kept to the minimum necessary for the adequate formulation and statement of main concepts. Numerical algorithms for the solution of the proposed problems are described in detail.
Set-Theoretic Methods in Control is accessible to readers familiar with the basics of systems and control theory; prerequisites such as convexity theory are included. The text provides a solid foundation of mathematical techniques and applications and also features avenues for further theoretical study. Aimed primarily at graduate students and researchers in applied mathematics and engineering, the book will also appeal to practitioners since it contains extensive references to the literature and supplies many recipes for solving significant control problems.
Table of contents :
Preface……Page 6
Contents……Page 10
Introduction……Page 15
Lyapunov and Lyapunov-like functions……Page 41
Convex sets and their representation……Page 87
Invariant sets……Page 112
Dynamic programming……Page 161
Set-theoretic analysis of dynamic systems……Page 202
Control of parameter-varying systems……Page 246
Control with time-domain constraints……Page 281
(Sub-)Optimal control……Page 346
Set-theoretic estimation……Page 398
Related topics……Page 423
12.1 Remarkable properties of the Euler auxiliarysystem……Page 459
12.2 MAXIS-G: a software for the computation ofinvariant sets for constrained LPV systems……Page 464
References……Page 467
Index……Page 485
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