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Smart Structures and Systems Volume 25, Number 4, April 2020 , pages 401-408 DOI: https://doi.org/10.12989/sss.2020.25.4.401 |
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PDC Intelligent control-based theory for structure system dynamics |
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Tim Chen, Megan Lohnash, Emmanuel Owens and C.Y.J. Chen
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| Abstract | ||
| This paper deals with the problem of global stabilization for a class of nonlinear control systems. An effective approach is proposed for controlling the system interaction of structures through a combination of parallel distributed compensation (PDC) intelligent controllers and fuzzy observers. An efficient approximate inference algorithm using expectation propagation and a Bayesian additive model is developed which allows us to predict the total number of control systems, thereby contributing to a more adaptive trajectory for the closed-loop system and that of its corresponding model. The closed-loop fuzzy system can be made as close as desired, so that the behavior of the closed-loop system can be rigorously predicted by establishing that of the closed-loop fuzzy system. | ||
| Key Words | ||
| intelligent control function; Bayesian additive model; automated design | ||
| Address | ||
| (1) Tim Chen: AI LAB, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam; (2) Megan Lohnash: Data Analysis Research Centre, San Jose State University, OneWashington Square; San José, CA 95192-0029, USA; (3) Emmanuel Owens: Innovative InformationCentre, Liverpool JohnMoores University, 98Mount Pleasant, Liverpool L3 5UZ, UK; (4) C.Y.J. Chen: Faculty of Engineering, King Abdulaziz University, Abdullah Sulayman, Jeddah 21589, Saudi Arabia. | ||