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We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, without requiring prior knowledge of the bounds… Click to show full abstract
We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, without requiring prior knowledge of the bounds of the system parameters, nor the control direction. Assuming that the system is at-worst marginally stable, mean square boundedness of the closed-loop system states is proven. Lastly, numerical examples are presented to illustrate our results.
Keywords:
input constraints;
control;
adaptive control;
learning based;
linear systems
Journal Title: IEEE Control Systems Letters
Year Published: 2022
Link to full text (if available)
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Journal Title: IEEE Control Systems Letters
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!