Title :
BP neural network control for a class of nonlinear systems
Author :
Liang Zhiwei ; Su Luyan ; Zhu Songhao ; Fang, Fang
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
A method based on BP neural network is proposed for a class of nonlinear SISO systems. It fits the nonlinear part of the system by learning the weight coefficients of the network on-line, designs the control rules to linearize the system, and assure the global stability. In this paper, the method is popularized in the MIMO systems. Experimental Results of two examples demonstrate the performance of our approach .
Keywords :
MIMO systems; backpropagation; control system synthesis; learning (artificial intelligence); neurocontrollers; nonlinear control systems; stability; BP neural network control; MIMO systems; control rules designs; global stability; nonlinear SISO systems; online learning; system linearization; weight coefficients; Automation; Educational institutions; Electronic mail; MIMO; Neural networks; Nonlinear systems; Telecommunications; BP neural network; linearization; nonlinear systems; on-line learning;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244619
