Performance Analysis of Model-Free Adaptive Control
Feilong Zhang
TL;DR
This paper investigates the performance of model-free adaptive control (MFAC) by analyzing its closed-loop function to enhance its applicability across various systems.
Contribution
It introduces a novel analysis method for MFAC law via closed-loop functions to broaden its application scope.
Findings
Improved understanding of MFAC behavior in closed-loop systems
Potential for wider application of MFAC in control systems
Foundation for future enhancements of MFAC techniques
Abstract
We analyzed model-free adaptive control (MFAC) law through closed-loop function to widen its application range.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Control Systems and Identification · Iterative Learning Control Systems