引用本文:张文广,闫瑾,段纳.严格反馈非线性系统的自适应最优预设时间跟踪控制[J].控制理论与应用,2026,43(5):1113~1122.[点击复制]
ZHANG Wen-guang,YAN Jin,DUAN Na.Adaptive optimal tracking control for strict-feedback nonlinear systems with predefined time[J].Control Theory & Applications,2026,43(5):1113~1122.[点击复制]
严格反馈非线性系统的自适应最优预设时间跟踪控制
Adaptive optimal tracking control for strict-feedback nonlinear systems with predefined time
摘要点击 382  全文点击 25  投稿时间:2024-05-16  修订日期:2025-06-22
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DOI编号  10.7641/CTA.2025.40277
  2026,43(5):1113-1122
中文关键词  跟踪控制  严格反馈非线性系统  最优控制  预设时间稳定性
英文关键词  tracking control  strict-feedback nonlinear systems  optimal control  predefined-time stability
基金项目  国家自然科学基金项目(62173166), 江苏省教育厅自然科学基金项目(23KJB120014)资助.
作者单位E-mail
张文广 徐州工程学院信息工程学院 wgz8911@163.com 
闫瑾 徐州工程学院信息工程学院  
段纳* 江苏师范大学电气工程及自动化学院 duanna08@163.com 
中文摘要
      针对一类具有时间响应约束和考虑指定性能的不确定严格反馈非线性系统, 本文提出了一种自适应最优 预设时间跟踪控制方法. 给出了控制器满足一类仿射形式的非线性系统实际最优预设时间稳定性的充分条件. 在 此基础上, 通过引入神经基函数和合适的低通滤波器, 构建了适用于该类严格反馈非线性系统的最优预设时间跟踪 控制器. 提出了一种新颖的自适应算法以调节神经网络权重范数的上界估值, 使得在被控系统受扰的情况下实现 任意设定跟踪误差的稳定时间. 证明了所提出的控制策略不仅能在预设的时间内稳定闭环系统, 还可最小化特定 性能指标. 利用两个仿真例子验证了所提控制策略的有效性.
英文摘要
      In this paper, the problem of optimal predefined-time tracking is investigated for strict-feedback nonlinear systems with disturbances. Firstly, the sufficient conditions for a controller to solve the practically optimal predefined-time stabilization problem of nonlinear systems in affine form are presented. Then, a new tracking controller is developed by introducing the property of the neural basis functions and low-pass filters into the backstepping design. A novel adaptive algorithm is proposed to adjust the estimation of the upper bound of the norms of the neural network weights, which enables the users to arbitrarily assign the stabilization time of the tracking errors in the presence of disturbances. After that, it is shown that our proposed control can not only stabilize the closed-loop system within predefined-time, but also minimize some certain performance measure. Finally, the effectiveness of the proposed control strategy is verified through simulation.