Intermittent Event-triggered Synchronization Control of Interval Type-2 Fuzzy Neural Network with Time-varying Delay

This paper investigates the exponential synchronization problem of Interval Type-2 Fuzzy Neural Networks with time-varying delay. To save control cost and limited bandwidth, an Intermittent Event-Triggered Control strategy that combines the advantages of an intermittent control scheme and event-trig...

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Bibliographic Details
Published inData Driven Control and Learning Systems Conference (Online) pp. 2157 - 2162
Main Authors Ma, Chunyuan, Zhang, Haiyang, Xiong, Lianglin, Ling, Bo
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.05.2025
Subjects
Costs
Delays
Event detection
Exponential Synchronization
Fuzzy control
Fuzzy neural networks
Intermittent Event-Triggered Control
Interval Type-2 Fuzzy Rule
Learning systems
Lyapunov methods
Neural networks
Synchronization
Time-Varying Delay
Time-varying systems
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ISSN2767-9861
DOI10.1109/DDCLS66240.2025.11066032

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Summary:This paper investigates the exponential synchronization problem of Interval Type-2 Fuzzy Neural Networks with time-varying delay. To save control cost and limited bandwidth, an Intermittent Event-Triggered Control strategy that combines the advantages of an intermittent control scheme and event-triggered control scheme is proposed. Unlike traditional periodic intermittent event-triggered control, we consider a general periodic intermittent event-triggered control scheme with variable width in this paper. In addition, a low conservative exponential synchronization criterion was established by combining the Lyapunov stability theory, reciprocally convex inequality, and integral inequality. Finally, a numerical example is provided to demonstrate the effectiveness and feasibility of the proposed scheme.
ISSN:2767-9861
DOI:10.1109/DDCLS66240.2025.11066032