Membership-dependent polynomial fuzzy control of a positive discrete time system: A symbol transfer technique

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

This work explores the polynomial fuzzy stabilization for positive systems. The traditional quadratic Lyapunov function and basic stability analysis may not be favourable for stability investigation due to the absence of the positivity property and membership functions. Therefore, a fuzzy co-positive polynomial Lyapunov–Krasovskii (FCPL) function which considers the positivity is proposed firstly through an imperfect premise matching (IPM) approach. Secondly, the symbol transfer technique which takes into account fuzzy membership knowledge relaxes the stability conditions. The number of symbols is reduced by two constraints: (1) the last and next moments of the membership functions of the FCPL function; (2) membership functions of the fuzzy model and the controller. Finally, the polynomial fuzzy controller with symbols is obtained. Two examples are implemented to verify the proposed methods.

正离散时间系统的成员依赖多项式模糊控制:符号转移技术
这项研究探讨了正系统的多项式模糊稳定问题。传统的二次李亚普诺夫函数和基本稳定性分析由于缺乏正向属性和成员函数,可能不利于稳定性研究。因此,首先通过不完全前提匹配(IPM)方法,提出了一种考虑正相关性的模糊共正多项式 Lyapunov-Krasovskii(FCPL)函数。其次,考虑到模糊成员知识的符号转移技术放宽了稳定性条件。通过两个约束条件减少了符号数量:(1) FCPL 函数成员函数的上一时刻和下一时刻;(2) 模糊模型和控制器的成员函数。最后,就得到了带符号的多项式模糊控制器。我们通过两个实例来验证所提出的方法。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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