Title :
A method of simple adaptive control for MIMO nonlinear continuous-time systems using multifraction neural network
Author :
Yasser, Muhammad ; Phuah, Jiunshian ; Jianming Lu ; Yahagi, Takashi
Author_Institution :
Grad. Sch. of Sci. & Tech., Chiba Univ., Japan
Abstract :
This paper presents a method of continuous-time simple-adaptive control (SAC) for multi-input multi-output (MIMO) nonlinear systems using multifraction neural networks. The control input is given by the sum of the output of the simple adaptive controller and the output of the multifraction neural network is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the usual SAC. The role of the multifraction neural network is to construct a linearized model by minimizing the output error caused by nonlinearities in the control systems.
Keywords :
MIMO systems; adaptive control; continuous time systems; neural nets; neurocontrollers; nonlinear control systems; MIMO nonlinear continuous-time systems; linearized model; multifraction neural network; multiinput multioutput; nonlinear control systems; output error minimization; plant dynamics nonlinearity; simple adaptive control; Adaptive control; Control nonlinearities; Control system synthesis; Control systems; Error correction; MIMO; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control;
Conference_Titel :
Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings. 2003 IEEE/ASME International Conference on
Print_ISBN :
0-7803-7759-1
DOI :
10.1109/AIM.2003.1225066
