| 引用本文: | 张怀宙，秦化淑.不确定仿射非线性系统的自适应控制——GRBF网络学习方法[J].控制理论与应用,1999,16(1):11~15.[点击复制] |
| Zhang Huaizhou and Qin Huashu.Adaptive Control of Nonlinear Systems with Uncertaintainties——GRBF Network Learning Method[J].Control Theory & Applications,1999,16(1):11~15.[点击复制] |
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| 不确定仿射非线性系统的自适应控制——GRBF网络学习方法 |
| Adaptive Control of Nonlinear Systems with Uncertaintainties——GRBF Network Learning Method |
| 摘要点击 1676 全文点击 645 修订日期：1998-02-27 |
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| DOI编号 |
| 1999,16(1):11-15 |
| 中文关键词 不确定放射非线性系统 自适应控制 滑动模控制 高斯仿射函数网络 |
| 英文关键词 uncertain affine nonlinear systems adaptive control sliding mode control GRBF networks |
| 基金项目 |
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| 中文摘要 |
| 研究一类不确定仿射非线性系统的自适应控制问题，构造出基于滑动模控制和GRBF网络的自适应控制器，使得对于任意的系统初值和网络初始权重，被控系统的输出均能渐进跟踪已知参考信号，控制器设计中所需估计参数个数等于实际参数个数，仿真结果令人满意。 |
| 英文摘要 |
| An adaptive controller combined with sliding mode control and GRBF networks is proposed for the control of a class of affine nonlinear systems.For given initial condition of the system and networks,the controlled system will globally asymptotically track a known reference signal.In the controller design,the controller design,the number of estimated parameters are equal to the actual number of network parameters,and we are satisfied by the simulation results. |