未知输入仿射非线性系统的自适应钝化

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS

IEEE Control Systems Letters Pub Date : 2024-12-18 DOI:10.1109/LCSYS.2024.3520031

Tatsuya Miyano;Ryotaro Shima;Yuji Ito

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引用次数: 0

摘要

在这封信中，我们提出了一个未知输入仿射非线性系统的自适应钝化框架。在该框架中，设计了一个参照系，使参照系与未知标称系统之间的偏差最小化，同时保证了某些类别的无源性。在被动参照系的基础上，提出了一种将标称系统驱动到参照系的自适应控制方法。通过数值实验验证了该框架的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive Passification of Unknown Input-Affine Nonlinear Systems

In this letter, we present an adaptive passification framework for unknown input-affine nonlinear systems. In the present framework, a reference system is designed so that the deviation between the reference system and an unknown nominal system is minimized, while ensuring some classes of passivity properties. Based on the passive reference system, we present an adaptive control method that drives the nominal system to the reference system. The performance of the present framework was demonstrated through numerical experiments.

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来源期刊

IEEE Control Systems Letters Mathematics-Control and Optimization

CiteScore

4.40

自引率

13.30%

发文量

471