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Stochastic optimal control of structures

Peng, Yongbo.

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Stochastic optimal control of structures

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Stochastic optimal control of structures/ by Yongbo Peng, Jie Li.
作者:	Peng, Yongbo.
其他作者:	Li, Jie.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xii, 322 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- 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.
Contained By:	Springer eBooks
標題:	Structural control (Engineering) -
電子資源:	https://doi.org/10.1007/978-981-13-6764-9
ISBN:	9789811367649

Stochastic optimal control of structures
Peng, Yongbo.

Stochastic optimal control of structures[electronic resource] /by Yongbo Peng, Jie Li. - Singapore :Springer Singapore :2019. - xii, 322 p. :ill. (some col.), digital ;24 cm.

Preface -- 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.

This 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.

ISBN: 9789811367649

Standard No.: 10.1007/978-981-13-6764-9doiSubjects--Topical Terms:

704576
Structural control (Engineering)

LC Class. No.: TA654.9 / .P46 2019

Dewey Class. No.: 624.1

Stochastic optimal control of structures
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505 0 $a Preface -- 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 $a This 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.
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