頁籤選單縮合
題 名 | The Artificial Neural Networks Applied to Servo Control System |
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作 者 | Chu, Ming-Hwei; Lin, Yung-Chien; Chen, Yi-Wei; | 書刊名 | 東南學報 |
卷 期 | 31 2007.06[民96.06] |
頁 次 | 頁75-93 |
分類號 | 448.94 |
關鍵詞 | Direct neural controls; Servo control; Specialized learning architectures; Multiple neural networks; |
語 文 | 英文(English) |
英文摘要 | Abstract This paper describes the basic neural network controllers. The neural controls with specialized learning architecture are introduced. The direct neural controls with the approximation of Jacobian are discussed and simulated. The adaptive control using multiple neural networks, which consists of a direct neural controller, a neural emulator and a neural tuner, is proposed. The neural emulator is used to approximate the Jacobian of plant. The linear combination of error and the error’s differential is used to approximate the back propagation error for weights update. The neural tuner is an online neural network that can perform the tuning of key parameters of the linear combination. |
本系統中英文摘要資訊取自各篇刊載內容。