A Radial-Basis-Function-Network-Based Controller With Application To Controlling A Flexible Micro-Actuator
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概要
- 論文の詳細を見る
Methods of designing a radial-basis-function-network-based (RBFN) controller and implementing it for controlling a piezopolymer bimorph flexible micro-actuator are presented. By focusing on the sigmoid function, which is generally used as the neuron activation function of neural networks and whose derivative shape is similar to that of a Gaussian function, we derive an RBFN controller by applying a differential operator to an NN controller. Applications in which a flexible micro-actuator is controlled by the RBFN controller are also described. Simulations show that the proposed controller is effective at controlling a flexible micro-actuator.
- 社団法人 電気学会の論文
著者
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SASAKI Minoru
Tohoku University
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SASAKI Minoru
Gifu University
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TAKAHASHI Kazuhiko
NTT Integrated Information and Energy Systems Laboratories
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Sasaki M
Tohoku University
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YAMADA Takayuki
NTT Access Network Systems Laboratories
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Takahashi Kazuhiko
Ntt Integrated Information & Energy Systems Laboratories
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