Research on fuzzy switching novel control based on  stochastic system

Xiangqian Han; Hong Yang; Zhongxin Shi; Chunbo Zhu; Guiyan Cao; Tao Zou

doi:10.1117/12.3037787

27 September 2024 Research on fuzzy switching novel control based on stochastic system

Xiangqian Han, Hong Yang, Zhongxin Shi, Chunbo Zhu, Guiyan Cao, Tao Zou

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132753N (2024) https://doi.org/10.1117/12.3037787
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

This article studies the switching algorithm control design of switching stochastic fuzzy systems with uncertain time delays. Firstly, stochastic switched fuzzy systems can accurately describe the stochastic, continuous and discrete dynamics and their interaction behaviors in complex real systems. Secondly, a new type of switching controller is designed, which can switch freely in a short time, making up for the deficiency of relying on a specific form of single variable switching. The state dependent switching law ensures the stability of the system. The characteristic of switching control is that when certain subsystems of the system are unstable, the entire switching system can be stabilized by designing switching strategies. In text simulation, the application examples can demonstrate the correctness of the research conclusions. Meanwhile, the performance indicators of the system are good.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangqian Han, Hong Yang, Zhongxin Shi, Chunbo Zhu, Guiyan Cao, and Tao Zou "Research on fuzzy switching novel control based on stochastic system", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132753N (27 September 2024); https://doi.org/10.1117/12.3037787

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available