Performance guaranteed prescribed-time control of nonlinear strict-feedback systems with non-vanishing uncertainties

Yunfei Dai, Chao Wang, Yue Xie, X. Li, Yujuan Wang, Qing Chen
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Abstract

This paper addresses the global finite-time tracking control problem for nonlinear strict-feedback systems with non-vanishing uncertainties and arbitrary initial conditions. The objective is to establish a control framework that guarantees system performance throughout the control process. To achieve finite-time convergence of tracking errors and guaranteed performance, a new performance function is proposed. To ensure global transient and steady-state performance, a time-varying scaling transformation method is employed. Under the proposed control method, the output tracking error is ensured to converge to a neighborhood of the origin of the preassigned size within a prescribed time at a pre-specified convergence rate. Additionally, global uniform ultimate boundedness is ensured for all signals in the closed-loop systems. Simulation examples validate the effectiveness and benefits of the proposed approach.
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非消失不确定性非线性严格反馈系统的性能保证规定时间控制
研究具有非消失不确定性和任意初始条件的非线性严格反馈系统的全局有限时间跟踪控制问题。目标是建立一个控制框架,保证整个控制过程的系统性能。为了实现跟踪误差的有限时间收敛和保证性能,提出了一种新的性能函数。为了保证系统的全局暂态和稳态性能,采用了时变尺度变换方法。在该控制方法下,输出跟踪误差保证在规定的时间内以规定的收敛速率收敛到给定大小原点的邻域。此外,还保证了闭环系统中所有信号的全局一致最终有界性。仿真实例验证了该方法的有效性和优越性。
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