Title :
A control based on rule updating for non-linear systems
Author_Institution :
IT Sch., Huzhou Univ., Huzhou, China
Abstract :
Non-linear processes are important industrial processes. Their control is a hot research point for intelligent systems. An intelligent regulation approach, control based on rule updating, is discussed in this paper. This scheme can modify some rules for intelligent control model dynamically and guarantee batter regulation. A simulation shows that this method is available for the intelligent control of some non-linear systems.
Keywords :
intelligent control; nonlinear systems; industrial process; intelligent control model; intelligent regulation; intelligent system; nonlinear process; nonlinear systems; rule updating; Coal; Control systems; Expert systems; Fuzzy control; Intelligent control; Process control; Temperature sensors; Fuzzy systems; Intelligent control; MIMO systems; Non-linear systems;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968785
