000			03317nam a22005175i 4500
001			978-1-4419-1216-9
003			DE-He213
005			20140220084505.0
007			cr nn 008mamaa
008			100301s2010 xxu| s |||| 0|eng d
020			_a9781441912169 _9978-1-4419-1216-9
024	7		_a10.1007/978-1-4419-1216-9 _2doi
050		4	_aTJ210.2-211.495
050		4	_aTJ163.12
072		7	_aTJFM _2bicssc
072		7	_aTJFD _2bicssc
072		7	_aTEC004000 _2bisacsh
072		7	_aTEC037000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aZecevic, Aleksandar. _eauthor.
245	1	0	_aControl of Complex Systems _h[electronic resource] : _bStructural Constraints and Uncertainty / _cby Aleksandar Zecevic, Dragoslav D. Siljak.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aXIII, 221p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCommunications and Control Engineering, _x0178-5354
505	0		_aDecompositions of Large-Scale Systems -- Information Structure Constraints -- Algebraic Constraints on the Gain Matrix -- Regions of Attraction -- Parametric Stability -- Future Directions: Dynamic Graphs.
520			_aControl of Complex Systems: Structural Constraints and Uncertainty focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks Control of Complex Systems: Structural Constraints and Uncertainty will appeal to practicing engineers, researchers and students working in control design and other related areas.
650		0	_aEngineering.
650		0	_aSystems theory.
650		0	_aVibration.
650	1	4	_aEngineering.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aVibration, Dynamical Systems, Control.
650	2	4	_aSystems Theory, Control.
700	1		_aSiljak, Dragoslav D. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441912152
830		0	_aCommunications and Control Engineering, _x0178-5354
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-1216-9
912			_aZDB-2-ENG
999			_c110345 _d110345