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Titlebook: Stochastic Optimal Control of Structures; Yongbo Peng,Jie Li Book 2019 Springer Nature Singapore Pte Ltd. and Shanghai Scientific and Tech

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Experimental Studies of Stochastic Optimal Control,Experimental studies provide a validating means for revealing the effectiveness of control systems upon structures.
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https://doi.org/10.1007/978-981-13-6764-9Stochastic optimal control; Probability density evolution method; Riccati equation; Probabilistic crite
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Introduction,sner .). The mechanical behaviors of structural materials often feature a remarkable uncertainty as well (Ang and Tang .). Therefore, the performance of engineering structure under external excitations always remains a degree of randomness. Traditional deterministic methods for structural design and
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mplements reliability-based stochastic optimal control of st.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 e
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Book 2019 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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Introduction,unt the randomness inherent in mechanical behaviors of structural materials have received extensive attention. These two theories serve as the milestones of research of stochastic dynamics of structures and provide a solid foundation for the development of new design principle of structural engineering (Li and Chen .).
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