Discussion on a Class of Model-Free Adaptive Control for Multivariable Systems
Feilong Zhang
TL;DR
This paper explores a class of model-free adaptive control methods for multivariable systems, aiming to expand their applicability by analyzing the control law through closed-loop functions.
Contribution
It introduces an analysis framework for MFAC law via closed-loop functions, broadening the potential applications of model-free adaptive control.
Findings
Enhanced understanding of MFAC law through closed-loop analysis
Potential for wider application of MFAC in multivariable systems
Foundation for future development of adaptive control strategies
Abstract
The model-free adaptive control (MFAC) law is a promising method in applications. We analyzed model-free adaptive control (MFAC) law through closed-loop function to widen its application range.
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Taxonomy
TopicsIterative Learning Control Systems · Industrial Technology and Control Systems · Adaptive Control of Nonlinear Systems