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010   $a981-13-6764-7
024 7 $a10.1007/978-981-13-6764-9
035   $a(CKB)4100000009836880
035   $a(MiAaPQ)EBC5802487
035   $a(DE-He213)978-981-13-6764-9
035   $a(Au-PeEL)EBL5802487
035   $a(OCoLC)1111485929
035   $a(PPN)262175134
035   $a(EXLCZ)994100000009836880
100   $a20190627d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStochastic Optimal Control of Structures /$fby Yongbo Peng, Jie Li
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (XII, 322 p. 170 illus., 86 illus. in color.) 
311   $a981-13-6763-9 
327   $aPreface -- Introduction -- Theoretical essentials -- PDEM based stochastic optimal control -- Probabilistic criteria of stochastic optimal control -- Generalized optimal control policy -- Stochastic optimal control of nonlinear structures -- Stochastic optimal control of wind-induced comfortability -- Stochastic optimal semi-active control of structures -- Shaking table test of controlled structures -- References -- Appendix A: Mapping from excitation vector to co-state vector -- Appendix B: Statistical linearization based LQG control -- Appendix C: Riccati matrix difference equation and discrete dynamic programming -- Index.
330   $aThis book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control systems, mitigate risks in civil engineering structures, and avoid the dilemmas posed by the methods predominantly applied in current practice, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.
606   $aVibration
606   $aDynamical systems
606   $aDynamics
606   $aControl engineering
606   $aMechanics
606   $aMechanics, Applied
606   $aCalculus of variations
606   $aProbabilities
606   $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aSolid Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15010
606   $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
615  0$aVibration.
615  0$aDynamical systems.
615  0$aDynamics.
615  0$aControl engineering.
615  0$aMechanics.
615  0$aMechanics, Applied.
615  0$aCalculus of variations.
615  0$aProbabilities.
615 14$aVibration, Dynamical Systems, Control.
615 24$aControl and Systems Theory.
615 24$aSolid Mechanics.
615 24$aCalculus of Variations and Optimal Control; Optimization.
615 24$aProbability Theory and Stochastic Processes.
676   $a620
700   $aPeng$b Yongbo$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063928
702   $aLi$b Jie$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910350290103321
996   $aStochastic Optimal Control of Structures$92535356
997   $aUNINA