控制理论(社会学)
稳健性(进化)
滑模控制
计算机科学
变结构控制
非线性系统
水准点(测量)
理论(学习稳定性)
数学优化
控制(管理)
数学
生物化学
化学
物理
大地测量学
量子力学
人工智能
机器学习
基因
地理
作者
Moussa Labbadi,Gian Paolo Incremona,Antonella Ferrara
出处
期刊:IEEE Control Systems Letters
日期:2023-01-01
卷期号:7: 3313-3318
被引量:1
标识
DOI:10.1109/lcsys.2023.3327235
摘要
This letter introduces a new methodology for the design and tuning of sliding mode controllers with fixed-time stability property for a class of second-order uncertain nonlinear systems. Exploiting the Gauss error function, a novel sliding variable is designed, giving rise to a new control law, whose the main strengths are its ease of implementation and robustness. Indeed, differently from other fixed-time stable techniques in the literature, it only requires the tuning of two design parameters in order to ensure fixed-time convergence, while making the controlled system robust in front of disturbance and uncertainty terms. The properties of the closed-loop systems are theoretically analysed, and the effectiveness of the proposal is shown in simulation on a benchmark example.
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