| 自适应模糊神经网络控制器设计的线性化方法 |
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| 引用本文： | 王殿辉 柴天佑. 自适应模糊神经网络控制器设计的线性化方法[J]. 控制与决策, 1995, 10(1): 21-27 |
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| 作者姓名： | 王殿辉 柴天佑 |
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| 作者单位： | 东北大学自动化研究中心 |
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| 摘 要： | 基于Ｔ－Ｓ模糊推理系统模型构造一个简化形式的Ｆｕｚｚｙ神经网络（ＦＮＮ），应用Ｓｔｏｎｅ－Ｗｅｉｅｒｓｔｒａｓｓ逼近定理证明了这种ＦＮＮ网络对非线性连续函数的全局逼近性质，并利用Ｃｌａｒｋｅ一步加权最优预报控制性能指标及前向ＦＮＮ网络辨识器模型的线性化思想，提出一种间接Ｆｕｚｚｙ神经网络自适应控制算法，仿真结果证实了该算法的有效性。
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| 关 键 词： | 线性化 自适应控制 模糊推理 神经网络 |
Adaptive Fuzzy Neural Controller Design: Linearization Approach |
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| Wang Dianhui, Chai Tianyou. Adaptive Fuzzy Neural Controller Design: Linearization Approach[J]. Control and Decision, 1995, 10(1): 21-27 |
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| Authors: | Wang Dianhui Chai Tianyou |
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| Affiliation: | Northeastern University |
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| Abstract: | Based on T - S fulzy inference model, first a simplified fuzzy neural network is constructed and its approximation capability is investigated by using Stone-Weierstrass theorem. Secondely, an inditect adaptive neural control ocbeme is ptesented. The key ideas are that both(1) use of one-step-achead predictive control perfortnancel and (2) linearization of the feedforward fuzzy neural network identifier. The effectiveness of our proposed control algorithm is Confirmed by simulations. |
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| Keywords: | nonlinear plants fuzzs neural networks linearication adaptive control |
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