Title
Interval Type-2 Fuzzy Control for HMM-Based Multiagent Systems via Dynamic Event-Triggered Scheme
Abstract
This article discusses the interval type-2 (IT2) Takagi–Sugeno (T-S) fuzzy asynchronous controller design problem for nonlinear multiagent systems via a dynamic event-triggered scheme in the discrete-time context. To formulate the asynchronous phenomena between the system modes and the anticipant controller modes, the hidden Markov model is proposed. The primary attention is focused on the explicit design of the dynamic event-triggered strategy that can be dynamically adjusted in line with system information, which mitigates the communication burden efficiently. On this occasion, the information renewal of the controller is aperiodic. Furthermore, the nonlinear characteristics are effectually disposed through utilizing a unique IT2 T-S fuzzy model, which is with mismatched membership functions (MFs). As a result, the resulting closed-loop fuzzy multiagent systems are accompanied by mismatched MFs and asynchronous modes, whereafter, via solving the convex optimization problem, the desired controller gains are acquired. Eventually, the validity and practicability of the developed control scheme are illustrated by two examples.
Year
DOI
Venue
2022
10.1109/TFUZZ.2021.3101581
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Distributed dynamic event-triggered mechanism,hidden Markov model (HMM),interval type-2 (IT2) Takagi–Sugeno (T-S) fuzzy control,multiagent systems
Journal
30
Issue
ISSN
Citations 
8
1063-6706
1
PageRank 
References 
Authors
0.35
38
5
Name
Order
Citations
PageRank
Yuan Wang18234.72
Huaicheng Yan210.68
Hao Zhang356639.96
Hao Shen4107469.50
H. K. Lam53618193.15