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基于事件触发的非线性系统有限时间输出反馈跟踪控制

薛亮 贺颖 周卫祥

电子科技2026,Vol.39Issue(9):45-50,6.
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电子科技2026,Vol.39Issue(9):45-50,6.DOI:10.16180/j.cnki.issn1007-7820.2026.09.006

基于事件触发的非线性系统有限时间输出反馈跟踪控制

Event-Triggered Adaptive Finite-Time Output-Feedback Tracking Control for Nonstrict-Feedback MIMO Nonlinear Systems

薛亮 1贺颖 2周卫祥3

作者信息

  • 1. 太原市城市排水管理中心,山西 太原 030006
  • 2. 山西大学 电力与建筑学院,山西 太原 030031
  • 3. 上海海事大学 信息工程学院,上海 201306
  • 折叠

摘要

Abstract

For non-strict feedback multi-input multi-output nonlinear systems with unknown states,a finite-time tracking control strategy based on event-triggered strategies is proposed.By taking advantage of the approxima-tion characteristics of neural networks for nonlinear functions,a neural network observer is constructed to estimate the unknown state in the system,and dynamic surface control technology is used to avoid the"complexity explosion"problem in traditional backstep control.Unlike the traditional relative threshold event-triggering mechanism,by in-troducing adaptive dynamic variables,not only can the update frequency of the actuator be effectively reduced and communication resources be saved,but also the trigger interval can be dynamically adjusted according to the charac-teristics of the system state.Theoretical analysis proves that the proposed control strategy can eliminate the influ-ence of unknown states and ensure the stability of the closed-loop system.Taking the simulation of the interconnect-ed inverted pendulum system as an example,the finite-time convergence of tracking error was achieved,verifying the effectiveness of the proposed strategy.

关键词

有限时间/神经网络/非线性系统/观测器/事件触发/输出反馈/跟踪控制

Key words

finite-time/neural network/nonlinear systems/observer/event-trigger/output-feedback/tracking control

分类

信息技术与安全科学

引用本文复制引用

薛亮,贺颖,周卫祥..基于事件触发的非线性系统有限时间输出反馈跟踪控制[J].电子科技,2026,39(9):45-50,6.

基金项目

国家自然科学基金(62203293)National Natural Science Foundation of China(62203293) (62203293)

电子科技

1007-7820

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