Title : 
Applied Research in Fuzzy Neural Network Predictive Control
         
        
            Author : 
Li, Yong-wei ; Li, Wei ; Yu, Guo-Qing ; Wang, Zhen-Yu ; Guo, Peng
         
        
            Author_Institution : 
Hebei Univ. of Sci. & Technol., Shijiazhuang
         
        
        
        
        
            Abstract : 
Being aimed at the problem that non-linear and long lag-time technological processes are difficult to control, this paper puts forward a predictive control method which combines BP neural network with fuzzy control. After having tested real-time control of the synthetic ammonia decarburization calcinations processes in a decarburization factory, this method is proved to be effective.
         
        
            Keywords : 
chemical industry; fuzzy control; fuzzy neural nets; neurocontrollers; predictive control; BP neural network; decarburization factory; fuzzy control; fuzzy neural network predictive control; real-time control; synthetic ammonia decarburization calcination process; Calcination; Control systems; Fuzzy control; Fuzzy neural networks; Intelligent networks; Mathematical model; Neural networks; Nonlinear control systems; Predictive control; Process control; BP predictive control; calcinations processes; neural network; real-time control; synthetic ammonia decarbornization;
         
        
        
        
            Conference_Titel : 
Cognitive Informatics, 6th IEEE International Conference on
         
        
            Conference_Location : 
Lake Tahoo, CA
         
        
            Print_ISBN : 
9781-4244-1327-0
         
        
            Electronic_ISBN : 
978-1-4244-1328-7
         
        
        
            DOI : 
10.1109/COGINF.2007.4341917