| 基于神经网络误差补偿的混沌系统广义预测控制 |
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| 引用本文： | 张兴会 陈增强 袁著祉. 基于神经网络误差补偿的混沌系统广义预测控制[J]. 南开大学学报(自然科学版), 2004, 37(2): 88-92 |
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| 作者姓名： | 张兴会 陈增强 袁著祉 |
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| 作者单位： | 天津技术师范学院,天津,300222;南开大学自动化系,天津,300071;南开大学自动化系,天津,300071 |
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| 基金项目： | 国家自然科学基金资助项目(60174021,6074037) |
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| 摘 要： | 本利用BP结构神经网络，对混沌系统的建模误差进行预测，并将其补偿到广义预测控制中，以提高算法的鲁棒性，线性模型和神经网络的学习均采用阻尼最小二乘算法．仿真结果表明该算法对混沌系统控制的有效性．
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| 关 键 词： | 神经网络 混沌系统 广义预测控制 阻尼最小二乘法 误差补偿 |
| 文章编号： | 0465-7942(2004)01-0088-05 |
| 修稿时间： | 2002-03-13 |
CHAOTIC SYSTEM′S GENERALIZED PREDICTIVE CONTROL BASED ON NEURAL NETWORKS ERROR COMPENSATION |
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| ZHANG Xinghui,CHEN Zengqiang,YUAN Zhuzhi. CHAOTIC SYSTEM′S GENERALIZED PREDICTIVE CONTROL BASED ON NEURAL NETWORKS ERROR COMPENSATION[J]. Acta Scientiarum Naturalium University Nankaiensis, 2004, 37(2): 88-92 |
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| Authors: | ZHANG Xinghui CHEN Zengqiang YUAN Zhuzhi |
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| Abstract: | The chaotic system's model error be predicted by BP network in this paper, and the model error is combined with the model prediction to form the generalized predictive control, which is aiming to strength the robust of the algorithm. Damped least square is used to identify the linear model of the system and to learn the weightings of network. The simulation results show the control method is effective. |
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| Keywords: | neural network chaotic system generalized predictive control damped least square error compensation |
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