Title :
A policy- and experience- driven neural network (PENN) and its application to SISO and MIMO process control
Author :
Ishida, Masaru ; ZHAN, Jixian
Author_Institution :
Res. Lab. of Resources Utilization, Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
A policy- and experience- driven Neural Network (PENN) is proposed. Its applicability is confirmed by applying it to both a nonlinear SISO water-level control with and without time delay and a MIMO distillation control. By online learning of both the global policy and local experience, the PENN controller can follow the dynamic change of the processes. The training of network is simple and straightforward.
Keywords :
MIMO systems; distillation; learning (artificial intelligence); level control; neural nets; neurocontrollers; nonlinear control systems; process control; MIMO distillation control; global policy; learning; local experience; nonlinear SISO water level control; online learning; policy-experience driven neural network; Chemical industry; Control systems; Delay effects; Industrial training; Knowledge engineering; Laboratories; MIMO; Neural networks; Stability; Telephony;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714006
