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- W3175911612 abstract "In this paper, an improved high-order model free adaptive control (IHOMFAC) method is proposed. Considering more information of the previous time, a high-order model free adaptive control parameter estimation algorithm is designed, which is different from the traditional high-order MFAC. The design of the control algorithm is based on the principle of symmetric similarity, which not only considers more control knowledge of the previous time in the control law, but also uses more information of the previous time in the estimation algorithm, which is conducive to enhancing the control performance. Simulation results declare that IHOMFAC has superior control performance than the traditional high-order MFAC." @default.
- W3175911612 created "2021-07-05" @default.
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- W3175911612 date "2021-05-14" @default.
- W3175911612 modified "2023-09-24" @default.
- W3175911612 title "Improved High-Order Model Free Adaptive Control" @default.
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- W3175911612 doi "https://doi.org/10.1109/ddcls52934.2021.9455488" @default.
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