2 September 2003 Model-free neural control of a class of nonlinear plants
Author Affiliations +
Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522169
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
In this paper, a model-free neural controller for a class of nonlinear plants is proposed. Based on the neuron model and its learning strategy for control in reference one, the nonlinear neurocontrol method is designed. After discussing the relationship between the controller gain and the nonlinear system error or error change, the nonlinear function is used to construct the neural network model and the inputs are selected to meet control demands of nonlinear plants. To show the efficiency of the proposed controller, simulation results for the fluid level control in a spherical tank are presented.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhong Zheng, Zhong Zheng, Ning Wang, Ning Wang, } "Model-free neural control of a class of nonlinear plants", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522169; https://doi.org/10.1117/12.522169
PROCEEDINGS
4 PAGES


SHARE
Back to Top