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- W3202000214 abstract "In this paper, the adaptive event-triggered asymptotic tracking control with guaranteed performance for a single link robot manipulator (SLRM) system driven by the brush DC motor is studied. Fuzzy logic systems (FLS) is used to approximate unknown nonlinear functions. By introducing a finite time performance function (FTPF), the tracking error of the system can converge to the compact set of the origin in finite time. In addition, by introducing the smooth function and some positive integral functions, combined with the boundary estimation method and adaptive backstepping technique, the asymptotic tracking control of the system is realized. Meanwhile, event-triggered mechanism is introduced to reduce the network resources of the system. Finally, a practical example is given to prove the effectiveness of the theoretical research." @default.
- W3202000214 created "2021-10-11" @default.
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- W3202000214 date "2021-06-18" @default.
- W3202000214 modified "2023-09-25" @default.
- W3202000214 title "Event-Triggered Adaptive Fuzzy Asymptotic Tracking Control for Single Link Robot Manipulator with Prescribed Performance" @default.
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- W3202000214 doi "https://doi.org/10.1109/spac53836.2021.9539955" @default.
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