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001 978-1-4614-5079-5
003 DE-He213
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008 121026s2013 xxu| s |||| 0|eng d
020 _a9781461450795
_9978-1-4614-5079-5
024 7 _a10.1007/978-1-4614-5079-5
_2doi
050 4 _aQA315-316
050 4 _aQA402.3
050 4 _aQA402.5-QA402.6
072 7 _aPBKQ
_2bicssc
072 7 _aPBU
_2bicssc
072 7 _aMAT005000
_2bisacsh
072 7 _aMAT029020
_2bisacsh
082 0 4 _a515.64
_223
100 1 _aPham, Khanh D.
_eauthor.
245 1 0 _aLinear-Quadratic Controls in Risk-Averse Decision Making
_h[electronic resource] :
_bPerformance-Measure Statistics and Control Decision Optimization /
_cby Khanh D. Pham.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXII, 150 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Optimization,
_x2190-8354
520 _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.  
650 0 _aMathematics.
650 0 _aDifferentiable dynamical systems.
650 0 _aComputer science.
650 0 _aMathematical optimization.
650 0 _aMathematical statistics.
650 1 4 _aMathematics.
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aDynamical Systems and Ergodic Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461450788
830 0 _aSpringerBriefs in Optimization,
_x2190-8354
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5079-5
912 _aZDB-2-SMA
999 _c95307
_d95307