Event-Triggered Control for SNSs with Distributed Time-Varying Delays and Output Dead Zone
Source abstract
Abstract
This paper addresses the tracking control problem for stochastic nonlinear systems (SNSs) subject to distributed time-varying delays and output dead zones. A novel dynamic event-triggered control scheme is proposed by integrating the backstepping technique with a fuzzy logic system (FLS). The FLS is employed to approximate unknown nonlinear functions, while a Nussbaum-type function is incorporated to mitigate the effects of the output dead zone. The challenges posed by distributed time-varying delays are effectively overcome by constructing novel double-integral Lyapunov–Krasovskii functionals. Furthermore, the introduced dynamic event-triggering mechanism, which features a relative threshold and an adaptive parameter, significantly reduces the network communication burden while maintaining desired system performance. Based on Lyapunov stability theory, it is rigorously proven that all signals in the resulting closed-loop system are semi-globally uniformly ultimately bounded, and the tracking error converges to a small neighborhood of the origin. Simulation results are provided to validate the feasibility and effectiveness of the proposed control approach.
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Research context
OpenAlex topics: Stability and Control of Uncertain Systems · Neural Networks Stability and Synchronization · Distributed Control Multi-Agent Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science, Xi’an University of Architecture and Technology, No. 13, Yanta District, Xi’an 710055, China
Funding
National Natural Science Foundation of China · Special Fund of the National Natural Science Foundation of China · Natural Science Foundation of Shaanxi Province · College Student Innovation Training Program · Research Training Program · Research Literacy Enhancement Project
References (44)
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