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含有输入时滞的非线性系统的输出反馈采样控制

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针对含有输入时滞和低阶非线性项的非线性系统,提出一种基于采样机制的无记忆输出反馈控制方法。该方法移除了传统预测控制方法预测映射难以确定的限制,同时避免了时滞依赖方法对过去时刻状态信息的依赖性,在实际中更易实现。首先,根据系统输出在采样时刻的信息,利用加幂积分技术和齐次占优思想设计了无记忆输出反馈采样控制器。然后,利用齐次系统理论提出了闭环系统的稳定性条件。最后,仿真结果验证了所提方法的有效性和优越性。
Sampled-data Output Feedback Control for Nonlinear Systems With Input Delay
For nonlinear systems subject to input delay and low-order nonlinearities,a memoryless sampled-data output feedback control approach is proposed.This method removes the limitations that the traditional predictor mapping is difficult to determine and avoids the dependence on past state information,which is easy to be imple-mented.Firstly,based on the output information at sampling points,the memoryless sampled-data output feed-back controller is successfully constructed by using the adding a power integrator technique and the homogeneous domination approach.Then,the stability conditions of the closed-loop system are proposed with the help of the ho-mogeneous system theory.Finally,the effectiveness and advantages of the proposed method are demonstrated by using simulation examples.

Memoryless sampled-data controloutput feedbacklow-order nonlinearitiesinput delay

马倩、盛兆明、徐胜元

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南京理工大学自动化学院 南京 210094

无记忆采样控制 输出反馈 低阶非线性项 输入时滞

国家自然科学基金

62173183

2024

自动化学报
中国自动化学会 中国科学院自动化研究所

自动化学报

CSTPCD北大核心
影响因子:1.762
ISSN:0254-4156
年,卷(期):2024.50(9)