Concurrent learning for convergence in adaptive control without persistency of excitation
CDC, pp. 3674-3679, 2010.
Model Reference Adaptive Control (MRAC) is a widely studied adaptive control methodology that aims to ensure that a nonlinear plant with significant modeling uncertainty behaves like a chosen reference model. MRAC methods attempt to achieve this by representing the modeling uncertainty as a weighted combination of known nonlinear function...More
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