Title :
A new class of intelligent neural network controllers
Author :
Lainiotis, D.G. ; Plataniotis, K.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Inst. of Technol., Melbourne, FL, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
In this paper we present, following the Lainiotis multipartitioning control methodology, a new class of neural networks based controllers. Moreover we investigate the performance of the new class of controllers by extensive simulations for the case of linear and nonlinear problems. The results show that the new controllers have excellent performance, achieving significant computational savings due to their massively parallel structure
Keywords :
intelligent control; neurocontrollers; computational savings; intelligent neural network controllers; massively parallel structure; multipartitioning control methodology; Adaptive control; Adaptive systems; Intelligent networks; Mathematical model; Neural networks; Nonlinear control systems; Programmable control; Stochastic systems; Uncertainty; Vectors;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374585
