Strictly Positive Real Condition Establishment in Feedback Error Learning Control

Asian Control Conference
Pages: 438 - 443
Published: Jun 1, 2019
Abstract
Feedback error learning (FEL) is a useful tool for designing two-degree-of-freedom (2DOF) control systems. FEL consists of a fixed feedback block for stability and a feedforward block tuned online for tracking. Recently the author’s group has proposed a new FEL tuning law which requires a certain strictly positive real (SPR) condition in the feedback loop. In this paper we discuss relaxation of this requirement by means of filter selection in...
Paper Details
Title
Strictly Positive Real Condition Establishment in Feedback Error Learning Control
Published Date
Jun 1, 2019
Journal
Pages
438 - 443
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