000			03158nam a22004935i 4500
001			978-1-4471-5188-3
003			DE-He213
005			20200421111850.0
007			cr nn 008mamaa
008			130531s2013 xxk| s |||| 0|eng d
020			_a9781447151883 _9978-1-4471-5188-3
024	7		_a10.1007/978-1-4471-5188-3 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aToscano, Rosario. _eauthor.
245	1	0	_aStructured Controllers for Uncertain Systems _h[electronic resource] : _bA Stochastic Optimization Approach / _cby Rosario Toscano.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_aXXIV, 298 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Industrial Control, _x1430-9491
505	0		_aStandard Stochastic Optimisation Methods -- Heuristic Kalman Algorithm -- Uncertain Linear Systems and Robustness -- H∞ Design of Fixed Structure Controllers -- H2 Design of Fixed Structure Controllers -- Mixed H2/H∞ Design of Fixed Structure Controllers -- Extension to Nonlinear Control via Multimodel Approach.
520			_aStructured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H∞, H2, and mixed H2/H∞ each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aCalculus of variations.
650		0	_aControl engineering.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
650	2	4	_aCalculus of Variations and Optimal Control; Optimization.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447151876
830		0	_aAdvances in Industrial Control, _x1430-9491
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-5188-3
912			_aZDB-2-ENG
942			_cEBK
999			_c56050 _d56050