Neural networks controller for time-varying systems

Authors:
Hussain Al-Duwaish
Affiliations:
Electrical Engineering Departemt, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Venue:
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Year:
2010

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Abstract

This paper presents a new method for implementing controllers for linear time-varying systems using radial basis function neural networks. An adaptation algorithm for updating the weights of the neural network has been derived. Least mean square criterion has been used to derive the adaptation algorithm. Constraints on the magnitude and rate of change of the control signals have been considered. Simulation results are included to demonstrate the feasibility and the time-varying properties of the proposed controller.