Title :
Application of Neural Network Simple Adaptive Control in Multivariable Coupling System
Author :
Zhao, Baoyong ; Yin, Yixin
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing
Abstract :
For the nonlinear multivariable control system, a simple adaptive control calculation method based on neural network was proposed. By using neural network as its constitution unit, the simple implicit adaptive control system is formed. It takes full advantages of the ability of neural network to willfully approach the nonlinear function and its parallel distribution and easy access to hardware application. Moreover, it gives full scope to the property of independence between the simple adaptive control and the controlled object, and its simple structure and flexible variables adjustment permit its adaptability to study. The simulation experiments in the hot rolling looper system achieve desirable control and thus prove its validity and feasibility
Keywords :
adaptive control; multivariable control systems; neurocontrollers; nonlinear control systems; adaptive control; multivariate coupling system; neural network; nonlinear multivariable control; Adaptive control; Automatic control; Constitution; Control system synthesis; Control systems; Couplings; MIMO; Neural networks; Nonlinear control systems; Production systems;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.104