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Adaptive Prescribed-Time Control of Time-Delay Nonlinear Systems via a Double Time-Varying Gain Approach
Journal article   Peer reviewed

Adaptive Prescribed-Time Control of Time-Delay Nonlinear Systems via a Double Time-Varying Gain Approach

Changchun Hua, Hao Li, Kuo Li, Pengju Ning and Ning Pengju
IEEE transactions on cybernetics, Vol.53(8), pp.5290-5298
01/08/2023
PMID: 36044508

Abstract

Adaptive control Adaptive systems Asymptotic stability Control systems Convergence double time-varying gains Lyapunov–Krasovskii (L-K) functional Nonlinear dynamical systems prescribed-time control Stability analysis time-delay nonlinear systems Time-varying systems
This article studies the global prescribed-time stabilization problem for a class of time-delay nonlinear systems with uncertain parameters. First, we design two time-varying gains with special properties, in which one is introduced into virtual controllers to achieve prescribed-time convergence and the other one is used to construct the Lyapunov-Krasovskii (L-K) functional and Lyapunov function to handle the nonlinear time-delay term and unknown parameters, respectively. Then, by utilizing double time-varying gains and the scaling-free backstepping design approach, a dynamic state feedback controller is constructed, which guarantees that all state variables reach zero within a prescribed time, and the prescribed time can be specified in advance. Then, based on new functionals and regular differential inequality, we figure out the explicit expression for the upper bound of all variables, which plays an important role in proving the boundedness of all system variables. Final, a simulation example is given to demonstrate the effectiveness of the proposed method.

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