论文成果
Event-triggered adaptive tracking control for stochastic nonlinear systems under predetermined finite-time performance
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关键字:SLIDING MODE CONTROL
摘要:In this paper, an event-triggered adaptive tracking control strategy is proposed for strict-feedback stochastic nonlinear systems with predetermined finite-time performance. Firstly, a finite-time performance function (FTPF) is introduced to describe the predetermined tracking performance. With the help of the error transformation technique, the original constrained tracking error is transformed into an equivalent unconstrained variable. Then, the unknown nonlinear functions are approximated by using the multi-dimensional Taylor networks (MTNs) in the backstepping design process. Meanwhile, an event-triggered mechanism with a relative threshold is introduced to reduce the communication burden between actuators and controllers. Furthermore, the proposed control strategy can ensure that all signals of the closed-loop system are bounded in probability and the tracking error is within a predefined range in a finite time. In the end, the effectiveness of the proposed control strategy is verified by two simulation examples.
卷号:38
期号:7
是否译文:

朱善良

教授 硕士生导师

教师拼音名称:zhushanliang

学历:博士研究生

办公地点:数理学院227房间

联系方式:zhushanliang@qust.edu.cn

学位:工学博士

所属院系:数理学院

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