https://scholars.lib.ntu.edu.tw/handle/123456789/409719
標題: | Self-organizing neural control system design for dynamic processes | 作者: | Chen C.-L. Chen W.-C. |
公開日期: | 1993 | 卷: | 24 | 期: | 8 | 起(迄)頁: | 1487-1507 | 來源出版物: | International Journal of Systems Science | 摘要: | This paper discusses the achievable nominal performance of a well-parametrized neural feedback control system, and proposes an efficient training method for parametrizing such a controller. A self-organizing neural control (SONC) system is presented in which a layered feedforward neural network is adopted as the controller structure in order to apply directly existing back-propagated learning techniques. A self-organizing methodology is introduced to provide the training set for adjusting parameters of the neural controller. One important feature of the proposed adaptive mechanism is that, though it should lack extensive knowledge of the process dynamics at the outset of controller design, it will still be able to achieve its desired results by employing the subjective experience of control specialists as its training aids. Tuning variables of the SONC system are reviewed through exploring their effects on five typical transfer functions. The applicability of the SONC system is also demonstrated on a continuous stirred tank reactor. Simulation results show that a well-parametrized neural controller can improve nominal performance for a wide variety of different processes, and the proposed self-organizing mechanism can direct a controller to achieve the desired final parametrization. ? 1993 Taylor & Francis Group, LLC. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/409719 | ISSN: | 00207721 | DOI: | 10.1080/00207729308949576 | SDG/關鍵字: | Adaptive control systems; Feedback control; Feedforward neural networks; Network layers; Adjusting parameters; Continuous stirred tank reactor; Controller designs; Controller structures; Learning techniques; Neural control system; Self-organizing mechanism; Subjective experiences; Controllers |
顯示於: | 化學工程學系 |
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