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Smart Structures and Systems Volume 34, Number 4, October 2024 , pages 261-270 DOI: https://doi.org/10.12989/sss.2024.34.4.261 |
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Dynamic control of nonlinear structural systems by smart linear quadratic regulator algorithm |
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Yahui Meng, ZY Chen, Ruei-Yuan Wang and Timothy Chen
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| Abstract | ||
| This article aims investigating the efficiency of the smart advanced control algorithm applied to the structural dynamic analysis with leaner quadratic regulator (LQR). We chose the linear-quadratic regulator algorithm to drive the system into the desired state, where the optimal control strategy considers minimization task of the cost-to-go functional with respect to the state error and control effort. Our main contribution in this paper is the development of a fast and scalable feasible solution for building nonlinear structural analysis. Thus, we seek to accommodate a time varying fuzzy model by LQR algorithm with the proposed smart modelling for design and analysis in systems. We provide a detailed theoretical formulation and its numerical implementation in a variational format form. Several illustrative numerical examples are provided to confirm an excellent performance of the proposed methodology. The objectives of this paper are access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disasterresilient buildings, sustainable planning and management of human settlement. Therefore, the goal is believed to be achieved in the near future through the continuous development of AI and control theory for a better life from the environment and built systems. | ||
| Key Words | ||
| artificial intelligence tools; fuzzy models; linear-quadratic regulator; nonlinear structural dynamics system; optimal control; smart structure | ||
| Address | ||
| (1) Yahui Meng, ZY Chen, Ruei-Yuan Wang: School of Science, Guangdong University of Petrochemical Technology, Maoming 525000, Peoples R. China; (2) Timothy Chen: Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA. | ||