Adaptive Event-Triggered Neural Network Control for Switching Nonlinear Systems With Time Delays
Yingkang Xie, Qian Ma
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.
Topics & Concepts
Dwell timeControl theory (sociology)Artificial neural networkNonlinear systemComputer scienceController (irrigation)Observer (physics)Compensation (psychology)Control (management)Artificial intelligencePhysicsPsychologyMedicinePsychoanalysisQuantum mechanicsClinical psychologyBiologyAgronomyAdaptive Control of Nonlinear SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems