Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels
Joint Authors
Xiao, Qi
Zheng, Xiaodong
Liu, Zhuang
Wu, Fayuan
Tang, Jinhui
Xue, Shuangsi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This work investigates the asynchronous control for fuzzy Markov switching systems (MSSs) with randomly occurring fading channel.
By resorting to a T-S fuzzy model, the nonlinear MSSs can be handled.
Meanwhile, in the unreliable network, the Rice fading model is proposed to capture the randomly occurring channel fading, which covers packet dropouts and network-induced delays as special cases.
In light of the hidden Markov model, the asynchronous phenomenon of controller is taken into consideration, and asynchronous fuzzy controller is obtained.
In the end, a numerical example and a single-link robotic arm model are applied to demonstrate the validity of the derived results.
American Psychological Association (APA)
Wu, Fayuan& Tang, Jinhui& Liu, Zhuang& Xiao, Qi& Zheng, Xiaodong& Xue, Shuangsi. 2020. Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1144800
Modern Language Association (MLA)
Wu, Fayuan…[et al.]. Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1144800
American Medical Association (AMA)
Wu, Fayuan& Tang, Jinhui& Liu, Zhuang& Xiao, Qi& Zheng, Xiaodong& Xue, Shuangsi. Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1144800
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144800