| 基于状态观测器的非线性系统神经网络自适应控制 |
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| 引用本文： | 李春涛,谭永红.基于状态观测器的非线性系统神经网络自适应控制[J].系统仿真学报,2004,16(10):2335-2339. |
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| 作者姓名： | 李春涛 谭永红 |
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| 作者单位： | 1. 南京航空航天大学自动化学院,江苏南京,210016
2. 桂林电子工业学院智能系统与工业控制研究室,桂林,541004 |
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| 基金项目： | 国家自然科学基金(50265001)，广西自然科学基金(0339068) |
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| 摘 要： | 结合高增益观测器,针对相对阶为n的非线性系统,设计了神经网络自适应控制器。利用Lyapnov定理获得了神经网络权值的更新律和控制器的控制律,从而确保了整个闭环系统的稳定性和有界性。由于神经网络不需任何的离线训练,因而该控制器能够广泛应用于一大类非线性性系统的控制中。仿真结果验证了控制方案的有效性。
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| 关 键 词： | 自适应控制 神经网络 非线性系统 输出反馈 |
Observer-based Adaptive Output Feedback Control of Nonlinear Systems Using Neural Network |
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| LI Chun-tao,TAN Yong-hong.Observer-based Adaptive Output Feedback Control of Nonlinear Systems Using Neural Network[J].Journal of System Simulation,2004,16(10):2335-2339. |
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| Authors: | LI Chun-tao TAN Yong-hong |
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| Institution: | LI Chun-tao1,TAN Yong-hong2 |
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| Abstract: | This paper presents a novel method for a class of nonlinear systems using neural networks (NN). Under the condition of only system output being available to feedback, an adaptive output feedback NN controller is proposed by using a high-gain observer to estimate unavailable states. The NN weight tuning law which is derived from Lyapnuov stability analysis, guarantees that the weight errors and tracking errors are all ultimately bounded. No exact knowledge of plant dynamics is required. Therefore, the proposed controller can be applicable to a large class of nonlinear systems. Simulation results verify the effectiveness of the newly designed scheme and theoretical discussion. |
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| Keywords: | adaptive control neural network nonlinear system output feedback |
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