Title :
Minimum seeking neural network for direct feedback control
Author :
Peng, Pei-Yuan ; Zhang, Youping
Author_Institution :
United Technol. Res. Center, East Hartford, CT, USA
Abstract :
This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement
Keywords :
feedback; learning (artificial intelligence); neurocontrollers; nonlinear control systems; uncertain systems; direct feedback control; minimum seeking neural network; neural network controller design; optimal weights; robust learning algorithm; Attenuation; Control systems; Feedback control; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Open loop systems; Robust control; Silver;
Conference_Titel :
Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6722-7
DOI :
10.1109/ISIC.2001.971483
