A Robust Nonlinear Model Reference Adaptive Control for Disturbed Linear Systems: An LMI Approach
نویسندگان
چکیده
In this article, a robust nonlinear model reference adaptive control (MRAC) is proposed for disturbed linear systems, i.e., systems with parameter uncertainties, and external time-dependent perturbations or unmodeled dynamics matched the input. The law composed of two gains. Such gains allow to counteract effects some ensuring asymptotic convergence tracking error zero, boundedness controller synthesis given by constructive method based on solution matrix inequalities. Besides, simulation results show that, due nonlinearities, rate algorithm faster than that provided classic MRAC.
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ژورنال
عنوان ژورنال: IEEE Transactions on Automatic Control
سال: 2022
ISSN: ['0018-9286', '1558-2523', '2334-3303']
DOI: https://doi.org/10.1109/tac.2021.3069719