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Structural Engineering and Mechanics Volume 81, Number 1, January10 2022 , pages 51-57 DOI: https://doi.org/10.12989/sem.2022.81.1.051 |
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Stochastic intelligent GA controller design for active TMD shear building |
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Z.Y. Chen, Sheng-Hsiang Peng, Ruei-Yuan Wang, Yahui Meng, Qiuli Fu and Timothy Chen
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| Abstract | ||
| The problem of optimal stochastic GA control of the system with uncertain parameters and unsure noise covariates is studied. First, without knowing the explicit form of the dynamic system, the open-loop determinism problem with path optimization is solved. Next, Gaussian linear quadratic controllers (LQG) are designed for linear systems that depend on the nominal path. A robust genetic neural network (NN) fuzzy controller is synthesized, which consists of a Kalman filter and an optimal controller to assure the asymptotic stability of the discrete control system. A simulation is performed to prove the suitability and performance of the recommended algorithm. The results indicated that the recommended method is a feasible method to improve the performance of active tuned mass damper (ATMD) shear buildings under random earthquake disturbances. | ||
| Key Words | ||
| genetic algorithm; Lyapunov; modified adaptive law; neural network controller; Stability theory | ||
| Address | ||
| Z.Y. Chen: School of Science, Guangdong University of Petrochem Technology, Maoming 525000, PR China Sheng-Hsiang Peng: Department of Civil and Environmental Engineering, University of California, Irvine, CA, 92697, USA Ruei-Yuan Wang, Yahui Meng: School of Science, Guangdong University of Petrochem Technology, Maoming 525000, PR China Qiuli Fu: School of Computer Science, Guangdong University of Petrochem Technology, Maoming 525000, PR China Timothy Chen: Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA | ||