Journal article
Application of Neural Networks and State-Space Averaging to dc/dc PWM Converters in Sliding-Mode Operation
Abstract
A novel output feedback neural controller is presented in this paper for the implementation of sliding-mode control of dc/dc converters. The controller, which consists of a multilayer perceptron, has been trained in order to be robust for large variations of system parameters and state variables. Fast dynamic behavior is the other main advantage of the proposed controller, which allows realization of all beneficial features of the sliding-mode …
Authors
Mahdavi J; Nasiri MR; Agah A; Emadi A
Journal
IEEE/ASME Transactions on Mechatronics, Vol. 10, No. 1, pp. 60–67
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
February 2005
DOI
10.1109/tmech.2004.842227
ISSN
1083-4435