Tracking, Parameter Identification, and Convergence Rates for Model Reference Adaptive Control
We prove tracking, parameter identification, and rate of convergence results for a class of partially linear systems from model reference adaptive control, in which the parameters that we identify are the entries of the unknown weight and control effectiveness matrices. We provide easily checked sufficient conditions for our persistency of excitation condition to hold. Our example illustrates the usefulness of our adaptive controller.
Publication Source (Journal or Book title)
Proceedings of the American Control Conference
Malisoff, M., Sarsilmaz, B., Yucelen, T., & Muse, J. (2018). Tracking, Parameter Identification, and Convergence Rates for Model Reference Adaptive Control. Proceedings of the American Control Conference, 2018-June, 6810-6814. https://doi.org/10.23919/ACC.2018.8430855