期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 30, 期 9, 页码 4025-4030出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3129854
关键词
Fuzzy systems; Observers; Takagi-Sugeno model; Symmetric matrices; Numerical simulation; Costs; Telecommunications; Fuzzy observer; gain scheduling; reduce conservatism; state estimation
资金
- National Natural Science Foundation of China [62022044, 61773221]
- Jiangsu Natural Science Foundation for Distinguished Young Scholars [BK20190039]
In this paper, a relaxed observer-based state estimation method for discrete-time Takagi-Sugeno fuzzy systems is proposed via a new augmented matrix approach. The method introduces additional matrices without redundant constraints under the framework of homogeneous polynomials, resulting in less conservative results compared to recent methods. Numerical simulations validate the superiority and generality of the developed method.
In this paper, relaxed observer-based state estimation of discrete-time Takagi-Sugeno fuzzy systems is proposed via developing a new augmented matrix approach. In contrast with the recent method reported in the literature, a more advanced introduction mode of additional matrices is developed without any redundant constraint under the framework of homogeneous polynomials. Then, the proposed augmented matrices can be built in order to depict the characteristic information of each possible working mode in a superior way, and thus our obtained result is less conservative than the recent one. Moreover, it is worth noting that that the recent method belongs to the special case of ours. Finally, two numerical simulations are given to test and validate the superiority and generality of the developed method.
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