Adaptive Event-Triggered Neural Network Control for Switching Nonlinear Systems With Time Delays.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 34357869.
- Also identified by DOI 10.1109/TNNLS.2021.3100533.
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Abstract
The adaptive event-triggered-based neural network control is explored for switching nonlinear systems with nonstrict-feedback structure and time-varying delays in this article. First, the switching observer is designed to estimate the unmeasurable states. Due to the existence of time-varying input delay, a compensation system is introduced. The average dwell-time (ADT) scheme and the event-triggered controller are established. Furthermore, the semiglobal uniform ultimate boundedness (SGUUB) of all the variables in the closed-loop system is achieved and the Zeno behavior is avoided. Finally, the numerical simulation shows that our proposed control approach is effective.