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• W2463349237 abstract "In this paper, a new adaptive neural dynamic surface control technique with an improved prescribed performance function is proposed for the nonlinear two-inertia system. An improved error transformation function is used to ensure the prescribed output tracking performance, and the neural network (NN) is utilized to estimate the unknown disturbance. The dynamic surface technique simplifies the controller by introducing first-order filters to eliminate “explosion of complexity” inherent in backstepping approach. Simulation results demonstrate the control scheme is effective." @default.
• W2463349237 created "2016-07-22" @default.
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• W2463349237 date "2015-12-12" @default.
• W2463349237 modified "2023-09-23" @default.
• W2463349237 title "Adaptive Control with Prescribed Performance for Nonlinear Two-Inertia System" @default.
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• W2463349237 doi "https://doi.org/10.1007/978-3-662-48365-7_45" @default.
• W2463349237 hasPublicationYear "2015" @default.
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