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- W3202648111 abstract "This paper investigates adaptive fuzzy preassigned finite-time tracking control for high-order nonlinear systems with full-state constraints. Fuzzy systems are utilized to remove frequently-used growth assumptions on completely unknown non-linearities. By integrating nonlinear transformed functions with a key coordinate transformation into control design, full-state constraints can be handled without imposing feasibility conditions in traditional barrier Lyapunov function-based methods. It is rigorously proved that the states of fuzzy systems remain within a specific compact set, on which fuzzy approximation is valid. Besides, asymmetric full-state constraints aren’t violated for all time, and the tracking error converges to the prescribed small region around zero in a preassigned finite-time. A simulation example shows the effectiveness of this control scheme." @default.
- W3202648111 created "2021-10-11" @default.
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- W3202648111 date "2021-07-26" @default.
- W3202648111 modified "2023-10-16" @default.
- W3202648111 title "Adaptive Fuzzy Preassigned Finite-Time Tracking of High-Order Nonlinear Systems With Full-State Constraints" @default.
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- W3202648111 doi "https://doi.org/10.23919/ccc52363.2021.9550062" @default.
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