Operator-based adaptive robust control for uncertain nonlinear systems by combining coprime factorization and fuzzy control method1

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mengyang Li, Nan Wang, Zhumu Fu, Fazhan Tao, Tao Zhou
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引用次数: 0

Abstract

In this paper, the robust stability of nonlinear system with unknown perturbation is considered combining operator-based right coprime factorization and fuzzy control method from the input-output view of point. In detail, fuzzy logic system is firstly combined with operator-based right coprime factorization method to study the uncertain nonlinear system. By using the operator-based fuzzy controller, the unknown perturbation is formulated, and a sufficient condition of guaranteeing robust stability is given by systematic calculation, which reduces difficulties in designing controller and calculating inverse of Bezout identity. Implications of the results related to former results are briefly compared and discussed. Finally, a simulation example is shown to confirm effectiveness of the proposed design scheme of this paper.
基于算子的不确定非线性系统自适应鲁棒控制[j]
本文从输入输出的角度,结合基于算子的右素数分解和模糊控制方法,研究了具有未知扰动的非线性系统的鲁棒稳定性问题。首先将模糊逻辑系统与基于算子的右素数分解方法相结合,研究不确定非线性系统。利用基于算子的模糊控制器,给出了未知扰动的形式,并通过系统计算给出了保证鲁棒稳定性的充分条件,降低了控制器设计和Bezout恒等式逆计算的难度。本文简要地比较和讨论了与先前结果相关的结果的含义。最后通过仿真算例验证了所提设计方案的有效性。
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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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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