000			02994nam a2200409 c 4500
988			_aSpringer_Engineering_2019
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020			_a9789811367649
024	7		_a10.1007/978-981-13-6764-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA646 _b2019 EB
100	1		_aPeng, Yongbo _9671939
245	1	0	_aStochastic Optimal Control of Structures _cby Yongbo Peng, Jie Li
250			_a1st ed. 2019.
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XII, 322 páginas) _b170 ilustraciones, 86 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_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.
520	3		_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.
650		7	_2embne _aAnálisis estructural (Ingeniería) _9150495
700	1		_aLi, Jie _eautor _9671940
776	0	8	_iPrinted edition: _z9789811367632
776	0	8	_iPrinted edition: _z9789811367656
776	0	8	_iPrinted edition: _z9789811367663
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6764-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eu _zSI