| 引用本文: | 徐普水， 施颂椒， 袁向阳.基于神经网络的一类非线性系统的稳定自适应控制器设计方法*[J].控制理论与应用,1999,16(5):751~753.[点击复制] |
| Xu Pushui, Shi Songjiao and Yuan Xiangyang.A Design Approach of Neural Network-Based Stable Adaptive Controller for a Class of Nonlinear Systems[J].Control Theory and Technology,1999,16(5):751~753.[点击复制] |
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| 基于神经网络的一类非线性系统的稳定自适应控制器设计方法* |
| A Design Approach of Neural Network-Based Stable Adaptive Controller for a Class of Nonlinear Systems |
| 摘要点击 747 全文点击 405 投稿时间：1997-06-16 修订日期：1998-10-05 |
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| DOI编号 |
| 1999,16(5):751-753 |
| 中文关键词 自适应控制 非线性系统 稳定性 神经网络 |
| 英文关键词 adaptive control nonlinear systems stability neural network |
| 基金项目 |
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| 中文摘要 |
| 针对一类非线性连续时间系统，其中非线性函数未知，提出了一种基于神经网络的稳定自适应控制方案．由于控制律的选择基于Lyapunov稳定性理论，因此，该控制方案不仅能够解决这类非线性系统的跟踪问题，而且使得整个闭环系统渐近稳定，克服了许多神经网络控制系统中存在的稳定性问题，仿真结果表明了算法的有效性． |
| 英文摘要 |
| This paper proposes a design scheme of neural network-based stable adaptive controller for a class of nonlinear continuous systems with unknown nonlinear function.Due to the fact that the control law is derived based on the stability theory of Lyapunov,the scheme can not only solve the tracking problem of the class of nonlinear systems,but also can it guarantee the asymptotic stability of the closed systems which is supenor to many neural network-based control schemes.The effectiveness of the proposed scheme is demonstrated by simulation. |