Active TMD systematic design of fuzzy control and the application in high-rise buildings
Abstract
In this research, a neural network (NN) method was developed, which combines H-infinity and fuzzy control for the purpose of stabilization and stability analysis of nonlinear systems. The H-infinity criterion is derived from the Lyapunov fuzzy method, and it is defined as a fuzzy combination of quadratic Lyapunov functions. Based on the stability criterion, the nonlinear system is guaranteed to be stable, so it is transformed to be a linear matrix inequality (LMI) problem. Since the demo active vibration control system to the tuning of the algorithm sequence developed a controller in a manner, it could effectively improve the control performance, by reducing the wind's excitation configuration in response to increase in the cost efficiency, and the control actuator.
Additional Information
© 2021 Techno-Press, Ltd. Received May 23, 2021, Revised September 15, 2021, Accepted October 12, 2021. The authors are grateful for the research grants given to Ruei-Yuan Wang from GDUPT talent introduction, Peoples R China under Grant No. 702-519208, and Academic Affairs in GDUPT for Goal Problem-Oriented Teaching Innovation and Practice Project Grant No. 701-234660, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China No. 2021rc002 as well as to the anonymous reviewers for constructive suggestions.Additional details
- Eprint ID
- 113207
- Resolver ID
- CaltechAUTHORS:20220201-225514082
- 702-519208
- Guangdong University of Petrochem Technology
- 701-234660
- Guangdong University of Petrochem Technology
- 2021rc002
- Guangdong University of Petrochem Technology
- Created
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2022-02-01Created from EPrint's datestamp field
- Updated
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2023-06-01Created from EPrint's last_modified field