| 引用本文: | 马孜,朱全民.非线性系统鲁棒自校正控制间接算法[J].控制理论与应用,1997,14(6):897~901.[点击复制] |
| MA Zi,ZHU Quanmin.Robust Self-Tuning Control Explicit Algorithm for Nonlinear Systems[J].Control Theory and Technology,1997,14(6):897~901.[点击复制] |
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| 非线性系统鲁棒自校正控制间接算法 |
| Robust Self-Tuning Control Explicit Algorithm for Nonlinear Systems |
| 摘要点击 917 全文点击 482 投稿时间：1995-01-14 修订日期：1996-11-07 |
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| DOI编号 |
| 1997,14(6):897-901 |
| 中文关键词 非线性系统 神经元网络 鲁棒性和自校正控制 |
| 英文关键词 nonlinearity neural network robustness self-tuning control |
| 基金项目 |
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| 中文摘要 |
| 提出一种非线性系统鲁棒自校正控制间接算法.借助于神经网的作用，有效地辨识系统的建模误差，其辨识结果在控制算法中加以补偿，于是，使基于低阶线性模型的自校正控制算法有效地应用于复杂的非线性系统.文中给出了算法的鲁棒性分析和仿真结果. |
| 英文摘要 |
| A robust self-tuning control explicit algorithm for nonlinear systems is developed. By means of the effect of neural network,the system modelling error is identified effectively, and the identified results are accommodated in control law design. Therefore,the self-tuning control algorithm based on low order linear model is applied to complicated nonlinear systems. The stability analysis and simulation results are also given. |
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