电路中应用的非均质粒状描述符分数动态系统的可控性和可观测性

IF 3.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
R. Srilekha, V. Parthiban
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引用次数: 0

摘要

本文从粒度可微分性的角度研究了模糊分数描述符动力系统的可控性和可观测性。利用 Mittag-Leffler 函数和粒状拉普拉斯变换获得了粒状描述符分数动力系统(GrDFDS)的粒状模糊解,并用状态转移矩阵表示该解。利用可控性格拉米矩阵和可观测性格拉米矩阵的定理分析了 GrDFDS 的可控性和可观测性。为了说明我们研究结果的有效性,我们在此给出了一个与描述符分数电路兼容性有关的工程问题的可控性分析。图表直观地显示了结果,表明电路的粒状描述符动力系统可以得到有效控制,使其状态成功地从粒状初始状态过渡到最终状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Controllability and Observability of Non-homogeneous Granular Descriptor Fractional Dynamical Systems Applied in Electrical Circuit

Controllability and Observability of Non-homogeneous Granular Descriptor Fractional Dynamical Systems Applied in Electrical Circuit

This paper deals with the study of controllability and observability of fuzzy fractional descriptor dynamical system in terms of granular differentiability. The granular fuzzy solution for granular descriptor fractional dynamical system (GrDFDS) is obtained by using the Mittag–Leffler function and granular Laplace transform and the solution is represented in terms of the state transfer matrix. The controllability and observability of GrDFDS is analysed with the help of theorems using the controllability Gramian matrix and observability Gramian matrix. In order to illustrate the efficacy of our findings, we hereby give the controllability analysis of an engineering problem pertaining to the compatibility of a descriptor fractional electric circuit. The graph visually represents the outcome, indicating that the granular descriptor dynamical system of the electric circuit can be effectively controlled, leading to the successful transition of its state from the granular initial to the final state.

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来源期刊
International Journal of Fuzzy Systems
International Journal of Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
7.80
自引率
9.30%
发文量
188
审稿时长
16 months
期刊介绍: The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.
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