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010   $a1-281-10797-2
010   $a9786611107970
010   $a0-8176-4606-X
024 7 $a10.1007/978-0-8176-4606-6
035   $a(CKB)1000000000403037
035   $a(EBL)337241
035   $a(OCoLC)476154401
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035   $a(PQKBTitleCode)TC0000244488
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035   $a(DE-He213)978-0-8176-4606-6
035   $a(MiAaPQ)EBC337241
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100   $a20100301d2008      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aSet-Theoretic Methods in Control /$fby Franco Blanchini, Stefano Miani
205   $a1st ed. 2008.
210  1$aBoston, MA :$cBirkhäuser Boston :$cImprint: Birkhäuser,$d2008.
215   $a1 online resource (500 p.)
225 1 $aSystems & Control: Foundations & Applications,$x2324-9757
300   $aDescription based upon print version of record.
311   $a0-8176-3255-7 
320   $aIncludes bibliographical references and index.
327   $aLyapunov and Lyapunov-like functions -- Convex sets and their representation -- Invariant sets -- Dynamic programming -- Set-theoretic analysis of dynamic systems -- Control of parameter-varying systems -- Control with time-domain constraints -- (Sub-)Optimal control -- Set-theoretic estimation -- Related topics.
330   $aThis self-contained monograph describes basic set-theoretic methods for control and provides a discussion of their links to fundamental problems in Lyapunov stability analysis and stabilization, optimal control, control under constraints, persistent disturbance rejection, and uncertain systems analysis and synthesis. New computer technology has catalyzed a resurgence of research in this area, particularly in the development of set-theoretic techniques, many of which are computationally demanding. The work presents several established and potentially new applications, along with numerical examples and case studies. A key theme of the presentation is the trade-off between exact (but computationally intensive) and approximate (but conservative) solutions to problems. Mathematical language is kept to the minimum necessary for the adequate formulation and statement of main concepts. Numerical algorithms for the solution of the proposed problems are described in detail. Set-Theoretic Methods in Control is accessible to readers familiar with the basics of systems and control theory; prerequisites such as convexity theory are included. The text provides a solid foundation of mathematical techniques and applications and also features avenues for further theoretical study. Aimed primarily at graduate students and researchers in applied mathematics and engineering, the book will also appeal to practitioners since it contains extensive references to the literature and supplies many recipes for solving significant control problems.
410  0$aSystems & Control: Foundations & Applications,$x2324-9757
606   $aControl engineering
606   $aSystem theory
606   $aControl theory
606   $aRobotics
606   $aAutomation
606   $aMathematical optimization
606   $aCalculus of variations
606   $aEngineering mathematics
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aControl and Systems Theory
606   $aSystems Theory, Control 
606   $aControl, Robotics, Automation
606   $aCalculus of Variations and Optimization
606   $aMathematical and Computational Engineering Applications
606   $aComputational Intelligence
615  0$aControl engineering.
615  0$aSystem theory.
615  0$aControl theory.
615  0$aRobotics.
615  0$aAutomation.
615  0$aMathematical optimization.
615  0$aCalculus of variations.
615  0$aEngineering mathematics.
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615 14$aControl and Systems Theory.
615 24$aSystems Theory, Control .
615 24$aControl, Robotics, Automation.
615 24$aCalculus of Variations and Optimization.
615 24$aMathematical and Computational Engineering Applications.
615 24$aComputational Intelligence.
676   $a629.8312
700   $aBlanchini$b Franco$0755598
701   $aMiani$b Stefano$0148369
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910818059203321
996   $aSet-theoretic methods in control$91522638
997   $aUNINA