Virtual Feedback Error Learning by Means of Cascade Connection of an Inverse System

Abstract

In this paper, a new learning scheme named Virtual Feedback Error Learning is proposed to improve conventional FEL schemes. Conventional schemes for FEL have a drawback that a time variant block is inserted into the closed loop system as a side effect from eliminating an assumption of positive realness for stability. This paper separates the inserted block from the closed loop by means of cascade connection of an inverse system. As a result, designers do not need to pay attention to the effect of the block to stability. The paper shows the parameters converge to true values under a PE condition, and verifies its effectiveness based on simulation.