Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.579
Model based batch reactor's temperature control algorithms for special plants or systems have been used widely. Adaptive control is also used to handle the model changing problems. This paper presents a new model free adaptive control that is based on expert system, fuzzy control and neural networks. Its main structure is a model free neural networks and the initial values of the neural networks parameters are given by an expert system. The learning rate and other adaptive parameters are updated by the fuzzy control technology.
Model Free Adaptive Control, Expert System, Fuzzy System
Xiaodong Zhao, Senlin Xu, Hongbo Zhou, "A New Strategy for Batch Reactor's Temperature Control", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 56-61, doi:10.1109/CSIE.2009.579