控制理论(社会学)
多输入多输出
有界函数
上下界
摄动(天文学)
自适应控制
规范(哲学)
滑模控制
数学
计算机科学
数学优化
控制(管理)
非线性系统
物理
人工智能
数学分析
量子力学
波束赋形
统计
政治学
法学
作者
Christopher D. Cruz‐Ancona,Leonid Fridman,Hussein Obeid,Salah Laghrouche
出处
期刊:Automatica
[Elsevier BV]
日期:2023-04-01
卷期号:150: 110854-110854
被引量:5
标识
DOI:10.1016/j.automatica.2023.110854
摘要
In adaptive sliding mode control methods, an updating gain strategy associated with finite-time convergence to the sliding set is essential to deal with matched bounded perturbations with unknown upper-bound. However, the estimation of the finite time of any adaptive design is a complicated task since it depends not only on the upper-bound of unknown perturbation but also on the size of initial conditions. This brief proposes a uniform adaptive reaching phase strategy (ARPS) within a predefined reaching-time. Moreover, as a case of study, the barrier function approach is extended for perturbed MIMO systems with uncertain control matrix. The usage of proposed ARPS in the MIMO case solves simultaneously two issues: giving a uniform reaching phase with a predefined reaching-time and adapting to the perturbation norm while in a predefined vicinity of the sliding set.
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