| 引用本文: | 孙猛,杨洪.输出非对称死区的非严格反馈非线性系统控制[J].控制理论与应用,2022,39(8):1442~1450.[点击复制] |
| SUN Meng,YANG Hong.Nonstrict feedback nonlinear system control with asymmetric dead zone output[J].Control Theory and Technology,2022,39(8):1442~1450.[点击复制] |
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| 输出非对称死区的非严格反馈非线性系统控制 |
| Nonstrict feedback nonlinear system control with asymmetric dead zone output |
| 摘要点击 3695 全文点击 450 投稿时间：2022-01-06 修订日期：2022-08-30 |
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| DOI编号 10.7641/CTA.2022.20016 |
| 2022,39(8):1442-1450 |
| 中文关键词 神经网络 输入饱和 输出死区 非严格反馈非线性系统 未知控制方向 动态面控制 |
| 英文关键词 neural network input saturation output dead zone nonstrict feedback nonlinear systems unknown control directions dynamic surface control |
| 基金项目 中国博士后基金面上项目(2020M681521), 国家自然科学基金项目(61873105, 72174079), 江苏省博士后项目(2021K456C), 连云港市博士后科学 基金项目(LYG20210012), 江苏省海洋生物资源与环境重点实验室开放课题项目(SH20201209)资助. |
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| 中文摘要 |
| 本文研究了具有输出非对称死区和状态含未知控制方向的非严格反馈非线性系统, 设计了稳定的自适应
神经网络控制器. 首先, 针对输出非对称死区的问题, 本文采用死区逆的方法, 构造光滑模型逼近原死区模型. 其
次, 在控制器设计过程中, 基于障碍Lyapunov函数的构造, 动态面控制和反步法, 设计出自适应控制信号, 虚拟控制
信号和实际控制信号. 通过稳定性分析, 证明所设计的神经网络控制器可以保证闭环系统内所有信号是半全局一致
最终有界. 最后, 通过MATLAB数值仿真, 说明所设计控制器的有效性. |
| 英文摘要 |
| This paper studies the nonstrict feedback nonlinear systems with output asymmetric dead zone and unknown
control directions. A stable adaptive neural network controller is designed in this paper. First of all, in order to deal
with the problem of output asymmetric dead zone, a smooth model is constructed to approximate the original dead zone
model by making use of the dead zone inverse method. Then, during the controller designing procedure, the adaptive
control signals, the virtual control signals and an actual control signal are designed based on the construction of barrier
Lyapunov function, dynamic surface control and backstepping method. The stability analysis proves that the proposed
neural network controller in this paper can guarantee that all the signals which are in the closed-loop system are semiglobal
uniformly ultimately bounded. Finally, the effectiveness of the controller which is proposed in this paper could be testified
by numerical simulations on MATLAB. |
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