Title :
A comparison of neural network control algorithms
Author :
De Jesús, Orlando ; Pukrittayakamee, Arjpolson ; Hagan, Martin T.
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
This paper presents a comparison of three common neural network controllers: model predictive control, NARMA-L2 control and model reference control. We describe each of the controllers and demonstrate their performance on four applications: a continuous stirred tank reactor, a robot arm, a magnetic levitation system and a simple diesel engine model. The strengths and weaknesses of each algorithm are illustrated
Keywords :
internal combustion engines; magnetic levitation; manipulators; neurocontrollers; predictive control; process control; NARMA-L2 control; continuous stirred tank reactor; diesel engine model; magnetic levitation system; model predictive control; model reference control; neural network; neurocontrol; robot arm; Continuous-stirred tank reactor; Control design; Control systems; Diesel engines; Magnetic levitation; Neural networks; Predictive control; Predictive models; Robots; System identification;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939074
