Title :
Adaptive control of nonlinear non-minimum phase systems using neural networks
Author :
Yue, Heng ; Chai, Tianyou ; Shao, Cheng
Author_Institution :
Res. Center of Autom., Northeast Univ. of Technol., Shenyang, China
Abstract :
A novel technique, using neural networks, is proposed for the adaptive control of a class of nonlinear nonminimum phase systems. Using Taylor expansion, the nonlinear system can be regarded as a linear nonminimum phase system with a measurable disturbance. Pole-placement is used to stabilize the system, and a neural network is used to approximate the nonlinear term. Feedforward compensation is used to eliminate steady tracking errors which are caused by the nonlinear term
Keywords :
adaptive control; compensation; discrete time systems; feedforward; linearisation techniques; neurocontrollers; nonlinear systems; pole assignment; series (mathematics); SISO systems; Taylor expansion; adaptive control; discrete time systems; feedforward compensation; linearisation; neural networks; nonlinear systems; nonminimum phase systems; pole-placement; tracking errors; Adaptive control; Automation; Electronic mail; Equations; Error correction; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Phase measurement; Taylor series;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657100
