000			02147nam a22003015i 4500
001			65242
005			20201103145320.0
010			_a978-1-4614-5079-5 _dcompra
090			_a65242
100			_a20150401d2013 k||y0pory50 ba
101			_aeng
102			_aUS
200			_aLinear-quadratic controls in risk-averse decision making _bDocumento electrónico _eperformance-measure statistics and control decision optimization _fKhanh D. Pham
210			_aNew York, NY _cSpringer _d2013
215			_aXII, 150 p.
225			_aSpringerBriefs in Optimization
300			_aColocação: Online
303			_aLinear-Quadratic Controls in Risk-Averse Decision Making   cuts across control engineering (control feedback and decision optimization) and statistics (post-design performance analysis) with a common theme: reliability increase seen from the responsive angle of incorporating and engineering multi-level performance robustness beyond the long-run average performance into control feedback design and decision making and complex dynamic systems from the start. This monograph provides a complete description of statistical optimal control (also known as cost-cumulant control) theory. In control problems and topics, emphasis is primarily placed on major developments attained and explicit connections between mathematical statistics of performance appraisals and decision and control optimization. Chapter summaries shed light on the relevance of developed results, which makes this monograph suitable for graduate-level lectures in applied mathematics and electrical engineering with systems-theoretic concentration, elective study or a reference for interested readers, researchers, and graduate students who are interested in theoretical constructs and design principles for stochastic controlled systems.
606			_aSistemas de controlo linear
606			_aTomada de decisão
606			_aProgramação quadrática
680			_aTJ220
700			_aPham _bKhanh D.
801			_aPT _gRPC
856			_uhttp://dx.doi.org/10.1007/978-1-4614-5079-5
942			_2lcc _cF _n0