https://scholars.lib.ntu.edu.tw/handle/123456789/409713
標題: | Universal neural controllers and stability analysis | 作者: | Chen C.-L. Chang F.-Y. |
公開日期: | 1996 | 卷: | 27 | 期: | 2 | 起(迄)頁: | 171-177 | 來源出版物: | International Journal of Systems Science | 摘要: | A set Γ of neural controllers is a universal neural controller if and only if any given controllable process P can also be controlled by a specific neural controller in Γ. Given any continuous real-valued controller on a compact set, there exists an element in the set Γ of PD/PI type inverse gaussian and gaussian potential function neural controllers (IGFNCs, GPFNCs) that could approximate the given continuous controller to any degree of accuracy. An application of this result shows that this type of radial basis function neural controller (RBFNCs) is a universal neural controller. Hence, any given controllable process can be controlled by this type of RBFNCs operating simultaneously. To realize the universal neural controller in practical processes, a stable region of PD type GPFNC control system is studied in parametric space of the gaussian potential frunctton network (GPFN). ? 1996 Taylor & Francis Group, LLC. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/409713 | ISSN: | 00207721 | DOI: | 10.1080/00207729608929201 |
顯示於: | 化學工程學系 |
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