1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: joace@ejournal.net.
2.Can I submit an abstract?
The journal publishes full research papers. So only full paper submission...[Read More]

Finite-Time Stability for Non-Gaussian Stochastic Distribution Systems via T-S Fuzzy Modeling

Xiang Gu, Xiaoli Zhang, and Yang Yi
College of Information Engineering, Yangzhou University, Yangzhou, China
Abstract—In this paper, the problem of finite-time stability for general non-Gaussian stochastic system with unknown state is investigated by using T-S fuzzy modeling. The objective is to control the probability density functions(PDFs) of the system output to follow a given PDFs. In order to describe the gray-box dynamics between PDFs of system output and controlled input, the well known fuzzy logic systems and the T-S fuzzy models are imported at the same time. Then a classical state observer is used to imitate the unknown state of the system. On account of the strong nonlinearity stochastic process, the square root B-spline is used to model the target PDFs. Finally, the favorable finite time stability can be achieved by employing convex optimization theory. Simulations study for a non-gaussian model are given to embody the superiority of the designed algorithm. 

Index Terms—T-S fuzzy modeling, finite-time stability, probability density functions(PDFs), unknown state

Cite: Xiang Gu, Xiaoli Zhang, and Yang Yi, "Finite-Time Stability for Non-Gaussian Stochastic Distribution Systems via T-S Fuzzy Modeling," Journal of Automation and Control Engineering, Vol. 8, No. 1, pp. 9-14, June, 2020. doi: 10.18178/joace.8.1.9-14

Copyright © 2018-2020 Journal of Automation and Control Engineering, All Rights Reserved
E-mail: joace@ejournal.net