000			03995nam a2200529 i 4500
001			6267329
003			IEEE
005			20220712204631.0
006			m o d
007			cr |n|||||||||
008			151229s1980 maua ob 001 eng d
010			_z 80013099 (print)
020			_a9780262256902 _qelectronic
020			_z9780262693042 _qprint
020			_z0262191806 _qprint
035			_a(CaBNVSL)mat06267329
035			_a(IDAMS)0b000064818b42fb
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aTJ216 _b.S22 1980eb
082	0	0	_a629.8/3
100	1		_aSafonov, Michael George, _eauthor. _922167
245	1	0	_aStability and robustness of multivariable feedback systems / _cMichael George Safonov.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc1980.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1980]
300			_a1 PDF (xi, 171 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aThe MIT Press series in signal processing, optimization, and control ; 3
500			_aBased on the author's thesis, Massachusetts Institute of Technology, 1977, presented under title: Robustness and stability aspects of stochastic multivariable feedback system design.
500			_aIncludes index.
504			_aIncludes bibliographical references (p. )[159]-168.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aThis book on stability theory and robustness will interest researchers and advanced graduate students in the area of feedback control engineering, circuits, and systems. It will also appeal to mathematicians who are involved in applications of functional analysis to engineering problems.The book provides a methodology for the rigorous treatment of such inherently feedback aspects of dynamical system design as robustness and sensitivity, just as many researchers are beginning to realize that this type of methodology is mandatory if modern systems theory is to be used to design complicated multivariable and large-scale systems. The main objective of the book is to provide a clear mathematical formulation of the issues that arise in designing feedback systems that are robust against the destabilizing effects of unknown-but-bounded uncertainty in component dynamics. It is the first study to identify formal methods for the quantitative analysis of multiloop feedback system robustness.The view that is presents of nonlinear, multiloop feedback system stability theory is unique, lucid, and conceptually appealing. Lyapunov and input-output stability theories are unified in a new and simple geometrical perspective based on the topological separation of spaces. This perspective greatly facilitates visualization of the underlying conceptual issues in stability and robustness theory and serves to motivate specific results concerning the robustness of feedback systems.Potentially, this methodology may be applied to nonlinear feedback design, validation of modeling approximations, hierarchical control system design, and stability margin analysis for multiloop feedback systems.This book is the third publication in The MIT Press Series in Signal Processing, Optimization, and Control, edited by Alan S. Willsky.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/29/2015.
650		0	_aFeedback control systems. _93888
650		0	_aStability. _95467
655		0	_aElectronic books. _93294
710	2		_aIEEE Xplore (Online Service), _edistributor. _922168
710	2		_aMIT Press, _epublisher. _922169
776	0	8	_iPrint version: _z9780262693042
830		0	_aMIT Press series in signal processing, optimization, and control ; _v3. _922170
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267329
942			_cEBK
999			_c72984 _d72984