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Asynchronous Control of Nonlinear Markov Jump Systems With Uncertainties Using Interval Type-2 Polynomial Fuzzy Approach

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成果类型:
期刊论文
作者:
Zhaowen Xu;Zheng-Guang Wu;Haoyi Que;Peng Jiang
作者机构:
Institute of Intelligence Science and Engineering, Shenzhen Polytechnic University, Shenzhen, China
National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China
[Zhaowen Xu; Peng Jiang] School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China
[Haoyi Que] College of Information and Intelligence, Hunan Agricultural University, Changsha, China
[Zheng-Guang Wu] Institute of Intelligence Science and Engineering, Shenzhen Polytechnic University, Shenzhen, China<&wdkj&>National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China
语种:
英文
期刊:
IEEE Transactions on Fuzzy Systems
ISSN:
1063-6706
年:
2024
卷:
32
期:
3
页码:
883-892
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61903260, 62273126 and 62003219) Zhejiang Province of China (Grant Number: 2023C03185)
机构署名:
本校为第一机构
摘要:
The focus of this article is to address the asynchronous control issue for a class of nonlinear Markov jump systems with parameter uncertainties. They are represented by the interval type-2 polynomial fuzzy model. A hidden Markov model is utilized to describe the asynchronous behavior between the system mode and the controller mode in a quantitative manner. This is achieved by using a joint random process, which is presented in a concise format and encompasses both spontaneous and simultaneous jumps. Further to facilitate the design flexibility...

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