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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