Robust Control for Universal Learning Network Considering Fuzzy Criterion and Second Order Derivatives

Abstract

Control systems using neural networks have been used recently in many fields, but some problems remain to be solved. One of the problems which should be overcome is to enhance the robustness of the neural networks control systems. In this paper, a new robust control method is proposed, which is based on the second order derivatives of Universal Learning Network and fuzzy criterion function.