Multi-layer Percetron Netwrok and Its Application to Process Ide ntification and Control

• Main Authors: Sheng Eong Chang, 張聖雍
• Other Authors: Hwang Chyi
• Format: Others
• Language: zh-TW
• Published: 1993
• Online Access: http://ndltd.ncl.edu.tw/handle/13286527882182292318

碩士 === 國立成功大學 === 化學工程研究所 === 81 === In this thesis, we show by several examples that the multi- layer percetron(MLP) is a very powerful tool for systems identification. In particular, MLP is suitable for identifing static systems and dynamical systems without time delay. We propose an MLP-based control structure which can control both linear and nonlinear systems without time delay, can accomodate external distrubances and can be extended to MIMO systems. In general, the characters of the proposed control structure can be listed as follows: (1) MLPs are used both the system model and controller. (2) The system model is trained off-line before the controller taking action, while the controller learns on- line; (3) It employs the back-propagation algorithm, and computes control command through pre-trained system model; (4) It applies an IMC-like loop to compensate external distrubances; (5) It adjusts the conserved factor $\beta$ to control the time-response characteristics; (6) It is suitable for linear and nonlinear systems without time delay; (7) It is sutiable for SISO and MIMO systems.