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http://dx.doi.org/10.12989/eas.2022.22.4.421

LQG modeling and GA control of structures subjected to earthquakes  

Chen, ZY (Guangdong University of Petrochem Technol, Suh Sci)
Jiang, Rong (Guangdong University of Petrochem Technol, Suh Sci)
Wang, Ruei-Yuan (Guangdong University of Petrochem Technol, Suh Sci)
Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
Publication Information
Earthquakes and Structures / v.22, no.4, 2022 , pp. 421-430 More about this Journal
Abstract
This paper addresses the stochastic control problem of robots within the framework of parameter uncertainty and uncertain noise covariance. First of all, an open circle deterministic trajectory optimization issue is explained without knowing the unequivocal type of the dynamical framework. Then, a Linear Quadratic Gaussian (LQG) controller is intended for the ostensible trajectory-dependent linearized framework, to such an extent that robust hereditary NN robotic controller made out of the Kalman filter and the fuzzy controller is blended to ensure the asymptotic stability of the non-continuous controlled frameworks. Applicability and performance of the proposed algorithm shown through simulation results in the complex systems which are demonstrate the feasible to improve the performance by the proposed approach.
Keywords
earthquake engineering; genetic algorithm; modified adaptive law; reinforced concrete frame structures;
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Times Cited By KSCI : 8  (Citation Analysis)
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