Stochastic Optimal Control of Structures

✍ Scribed by Yongbo Peng, Jie Li

Publisher: Springer Singapore
Year: 2019
Tongue: English
Leaves: 327
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xii
Introduction (Yongbo Peng, Jie Li)....Pages 1-24
Theoretical Principles (Yongbo Peng, Jie Li)....Pages 25-82
Physically Based Stochastic Optimal Control (Yongbo Peng, Jie Li)....Pages 83-117
Probabilistic Criteria of Stochastic Optimal Control (Yongbo Peng, Jie Li)....Pages 119-144
Generalized Optimal Control Policy (Yongbo Peng, Jie Li)....Pages 145-169
Stochastic Optimal Control of Nonlinear Structures (Yongbo Peng, Jie Li)....Pages 171-203
Stochastic Optimal Control of Wind-Resistant Structures with Viscous Dampers (Yongbo Peng, Jie Li)....Pages 205-234
Stochastic Optimal Control of Seismic Structures with MR Dampers (Yongbo Peng, Jie Li)....Pages 235-266
Experimental Studies of Stochastic Optimal Control (Yongbo Peng, Jie Li)....Pages 267-293
Back Matter ....Pages 295-322

✦ Subjects

Engineering; Vibration, Dynamical Systems, Control; Control; Calculus of Variations and Optimal Control; Optimization; Probability Theory and Stochastic Processes

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