Craig J. Lalumiere

Mar 10, 2024 | onlinelibrary.wiley.com | Daniel Miller |Craig J. Lalumiere

Supervisory control has been shown to be a very effective approach to adaptive control which ensures step-tracking, exponential stability, and a degree of robustness to unmodeled dynamics. Here we apply the technique to the classical d $$ d $$ -step-ahead adaptive control problem: we not only prove exponential stability and tracking of a general bounded reference signal, but also a never-before-seen linear-like convolution bound on the effect of the noise/disturbance.