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- W2897025162 abstract "This paper focuses on the problem of multi-dimensional Taylor network (MTN)-based adaptive tracking control for a class of nonlinear systems with input constraints. As preliminaries, the saturation is first presented by a smooth function, and then a novel MTN-backstepping-based adaptive control method is designed on the basis of the Lyapunov stability theory. It is shown that the proposed control method can guarantee that all the signals in the closed-loop system are bounded and the tracking error converges to an arbitrarily small neighborhood around the origin. Finally, one example is given to illustrate the effectiveness of the proposed design approach." @default.
- W2897025162 created "2018-10-26" @default.
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- W2897025162 date "2018-07-01" @default.
- W2897025162 modified "2023-10-18" @default.
- W2897025162 title "Multi-Dimensional Taylor Network (MTN)-Based Adaptive Tracking Control for a Class of Nonlinear Systems with Input Constraints" @default.
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- W2897025162 doi "https://doi.org/10.23919/chicc.2018.8482971" @default.
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