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Advances in Aircraft and Spacecraft Science Volume 11, Number 3, September 2024 , pages 249-467 DOI: https://doi.org/10.12989/aas.2024.11.3.249 |
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Coupled aircraft systematic theorem and analysis for nonlinear fuzzy systems |
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C.C. Hung, T. Nguyễn, N. Mohammed and C.Y. Hsieh
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| Abstract | ||
| In this paper, we propose a coupled systematic reference model-related method for dynamic controller design of evolutionary processes to overcome the effects of model errors. To ensure a robust model, the stability criterion is directly proved by the Lyapunov method. NFA solves the problem based on a complex echolocation TS fuzzy model. Based on these standards and distributed control methods, the use of NFA is a cluster-based fuzzy control method for designing predictive signals and active controls. Finally, a numerical example is given in the presented results to show that the stability analysis can be applied to nonlinear responses and that the application of this principle depends on the precise degree of multi-degree-of-freedom (MDOF) vibration compensation. In addition to robust logic, control system effectiveness can also reduce risk in industrial applications. | ||
| Key Words | ||
| coupled systematic criterion; disordering; evolved control systems; predictive control; time delays | ||
| Address | ||
| C.C. Hung: School of Big Data, Fuzhou University of International Studies and Trade, No. 28, Yuhuan Road, Shouzhan New District, Changle District, Fuzhou City, Fujian Province, PR China T. Nguyễn, N. Mohammed: Ha Tinh University, Dai Nai Ward, Ha Tinh City, Vietnam C.Y. Hsieh: National Pingtung University, Education School, No. 4-18, Minsheng Rd., Pingtung City, Pingtung County 900391, Taiwan | ||
