| 一种基于人工免疫原理的最优模糊神经网络控制器 |
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| 引用本文： | 左兴权,李士勇.一种基于人工免疫原理的最优模糊神经网络控制器[J].信息与控制,2004,33(3):380-384. |
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| 作者姓名： | 左兴权 李士勇 |
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| 作者单位： | 哈尔滨工业大学控制科学与工程系,黑龙江,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目(50138010)
哈尔滨工业大学跨学科交叉性研究基金资助项目(HIT.MD2001.02) |
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| 摘 要： | 提出了一种基于人工免疫原理的最优RBF模糊神经网络控制器设计方案．首先给出了控制器结构，其次将免疫进化算法用于控制器参数的优化，设计了一种满足二次型性能指标的最优RBF模糊神经网络控制器．将该控制器用于控制实际倒立摆系统，并采用状态变量合成方法以大大减少模糊规则的数目，实验结果验证了该控制器的有效性．
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| 关 键 词： | 免疫进化算法 模糊神经网络 模糊控制 人工免疫系统 |
| 文章编号： | 1002-0411(2004)03-0380-05 |
An Optimal Fuzzy Neural Network Controller Based on Artificial Immune Principle |
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| ZUO Xing-quan,LI Shi-yong.An Optimal Fuzzy Neural Network Controller Based on Artificial Immune Principle[J].Information and Control,2004,33(3):380-384. |
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| Authors: | ZUO Xing-quan LI Shi-yong |
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| Abstract: | A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle. The structure of the controller is given, then the immune evolutionary algorithm is used to optimize the parameters of the controller to design an optimal RBF fuzzy neural network controller that satisfies quadratic performance index. The designed controller is employed to control an actual inverted pendulum system, and the scheme of state variable synthesis is used to reduce the number of fuzzy rules greatly. Experiment results has verified the effectiveness of the designed controller. |
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| Keywords: | immune evolutionary algorithm fuzzy neural network fuzzy control artificial immune system |
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