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- Title
基于事件触发机制的一类非严格反馈非线性系统的自适应神经网络追踪控制.
- Authors
廉玉晓; 杨文静; 王琳淇; 王学良; 夏建伟
- Abstract
In this paper,the adaptive neural network tracking control is addressed based on event-triggering mechanism for a class of nonstrict-feedback nonlinear systems.By combining backstepping technology,neural network and event-triggering mechanism,an adaptive neural network control scheme is proposed,which reduces the data amount transmitted between the controller and the actuator,ensures the output signal to track the reference signal as much as possible,and guarantees all the signals of the closed-loop system to be bounded.In addition,the feasibility of the proposed event-triggering mechanism is ensured by avoiding Zeno phenomenon.Finally,an example is given to verify the effectiveness of the proposed scheme.
- Publication
Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban), 2021, Vol 13, Issue 1, p59
- ISSN
1674-7070
- Publication type
Article
- DOI
10.13878/j.cnki.jnuist.2021.01.008