| 引用本文： |
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李娜,王汝凉,陈超洋.基于神经网络的一类非仿射非线性系统的H∞控制[J].广西科学,2010,17(4):328-331. [点击复制]
- LI Na,WANG Ru-liang,CHEN Chao-yang.Robust H∞ Control for a Class of Non-affine Nonlinear Systems with Time-delay Based on Neural Networks[J].Guangxi Sciences,2010,17(4):328-331. [点击复制]
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| 摘要: |
| 利用隐函数定理和泰勒公式及中值定理,将非仿射非线性系统转变为仿射非线性系统,设计一个基于神经网络的控制器,该控制器由等效控制器和H∞控制器组成,能有效的保证闭环系统的稳定及跟踪误差渐近收敛于零,并且使干扰对系统的影响衰减到指定的性能指标. |
| 关键词: H∞控制 时滞 神经网络 非仿射非线性系统 |
| DOI： |
| 投稿时间：2010-03-25 |
| 基金项目:国家自然科学基金项目(60864001),广西自然科学基金项目(0640073,0679021,0679024)资助。 |
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| Robust H∞ Control for a Class of Non-affine Nonlinear Systems with Time-delay Based on Neural Networks |
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LI Na1, WANG Ru-liang2, CHEN Chao-yang3
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| (1.Hongze Middle School, Huaian, Jiangsu, 200241, China;2.College of Computer and Information Technology, Guangxi Teachers Education University, Nanning, Guangxi, 530023, China;3.College of Mathematical Science, Guangxi Teachers Education University, Nanning, Guangxi, 530023, China) |
| Abstract: |
| By using Taylor's formula and mean theorem, the form of the non-affine nonlinear system is transformed into the form of affine nonlinear systems. A controller consists of an equivalent controller and H∞ controller and is designed so that the resulting closed-loop system is asymptotic stable and the effect of the dissurbance on system attenuates to a prescribed level. Finally, theoretical analysis demonstrates the effectiveness of the approach. |
| Key words: H∞ control time-delay neural networks non-affine nonlinear system |
