Title :
Neural network based predictive control for nonlinear processes with time-delay
Author :
Tan, Yonghong ; De Keyser, Robin
Author_Institution :
Dept. of Autom. Control, Ghent Univ., Belgium
Abstract :
This paper presents two control strategies using neural network based predictors to compensate for the influence of time-delay in nonlinear systems. Firstly, a d-step-ahead neural predictor based control method is proposed. Then, a control scheme based on neural Smith predictor is given for large time-delay compensation. A design procedure based on stability analysis is presented. Finally a comparison between the two kinds of neural control is given
Keywords :
compensation; control system synthesis; delay systems; neurocontrollers; nonlinear control systems; predictive control; stability; control design; large time-delay compensation; multistep-ahead neural predictor; neural Smith predictor; neural network based predictive control; nonlinear processes; nonlinear systems; stability analysis; time-delay; Automatic control; Control systems; Feedforward neural networks; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear systems; Predictive control; Predictive models; Recurrent neural networks; Stability analysis;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.399993
