000			03658nam a22006135i 4500
001			978-981-13-6764-9
003			DE-He213
005			20220801213732.0
007			cr nn 008mamaa
008			190627s2019 si | s |||| 0|eng d
020			_a9789811367649 _9978-981-13-6764-9
024	7		_a10.1007/978-981-13-6764-9 _2doi
050		4	_aTA352-356
072		7	_aTGMD4 _2bicssc
072		7	_aTEC009070 _2bisacsh
072		7	_aTGMD _2thema
082	0	4	_a620.3 _223
100	1		_aPeng, Yongbo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934005
245	1	0	_aStochastic Optimal Control of Structures _h[electronic resource] / _cby Yongbo Peng, Jie Li.
250			_a1st ed. 2019.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2019.
300			_aXII, 322 p. 170 illus., 86 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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			_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		0	_aMultibody systems. _96018
650		0	_aVibration. _96645
650		0	_aMechanics, Applied. _93253
650		0	_aControl engineering. _931970
650		0	_aSolids. _93750
650		0	_aMathematical optimization. _94112
650		0	_aCalculus of variations. _917382
650		0	_aProbabilities. _94604
650	1	4	_aMultibody Systems and Mechanical Vibrations. _932157
650	2	4	_aControl and Systems Theory. _931972
650	2	4	_aSolid Mechanics. _931612
650	2	4	_aCalculus of Variations and Optimization. _931596
650	2	4	_aProbability Theory. _917950
700	1		_aLi, Jie. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934006
710	2		_aSpringerLink (Online service) _934007
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811367632
776	0	8	_iPrinted edition: _z9789811367656
776	0	8	_iPrinted edition: _z9789811367663
856	4	0	_uhttps://doi.org/10.1007/978-981-13-6764-9
912			_aZDB-2-ENG
912			_aZDB-2-SXE
942			_cEBK
999			_c75536 _d75536