事件触发指数稳定的Lyapunov设计

A. Proskurnikov, M. Mazo
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引用次数: 6

摘要

控制李雅普诺夫函数(CLF)方法为非线性系统的镇定提供了一种建设性的工具。为了找到CLF,文献中已经提出了许多方法,例如级联系统的反演和多项式系统的平方和(SOS)规划。处理连续时间系统时,基于clf的控制器也是连续时间的,而在数字平台上的实际实现需要采样时间控制。本文证明了如果连续时间控制器具有指数镇定性,则存在一种收敛速度任意接近连续时间系统收敛速度的指数镇定事件触发控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lyapunov Design for Event-Triggered Exponential Stabilization
Control Lyapunov Functions (CLF) method gives a constructive tool for stabilization of nonlinear systems. To find a CLF, many methods have been proposed in the literature, e.g. backstepping for cascaded systems and sum of squares (SOS) programming for polynomial systems. Dealing with continuous-time systems, the CLF-based controller is also continuous-time, whereas practical implementation on a digital platform requires sampled-time control. In this paper, we show that if the continuous-time controller provides exponential stabilization, then an exponentially stabilizing event-triggered control strategy exists with the convergence rate arbitrarily close to the rate of the continuous-time system.
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