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Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems

2021/11/25 by Changchun Hua, Pengju Ning, Kuo Li · 5 citations
Engineering · Computer Science · #Adaptive Control of Nonlinear Systems #Adaptive Dynamic Programming Control #Distributed Control Multi-Agent Systems

paper · doi:10.1109/tac.2021.3130883

Abstract

This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of continuous time-varying feedback, which can render all system states converge to zero within the prescribed time. It should be noted that the prescribed time is independent of system initial conditions, which means that the prescribed time can be set arbitrarily within the physical limitations. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed algorithm.

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