Improving Local Priority Hysteresis Switching Logic Convergence

• 作者: Mubarak K. H. Alhajri Muhammad A. Alsubaie Salem H. Salamah
• 来源期刊: 智能控制与自动化(英文)
• 学科: 数学
• 关键词: Adaptive Control HYSTERESIS CONSTANT CONVERGENCE
• 年，卷（期）: 2020,（1）
• 页码范围: 1-14
• 页数: 14页
• 分类号: O17

摘要

Local priority hysteresis switching logic is associated with adaptive control convergence when using an infinite set of candidate parameters via constraints added to the switching scheme. In this paper, we reevaluate these constraints on the basis of the persistent excitation assumption. This makes room for the adaptive control to converge to its optimum, resulting in improved performance. Unconstrained local priority hysteresis switching logic is investigated, and global convergence conditions are proposed. This paper expands on the preliminary version of a conference paper [1] by adding numerical simulation examples to validate both the application and the advantage of the theory.