Adaptive control algorithms for disturbance rejection

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Abstract

Various adaptive control algorithms are described for the control of unknown plants with deterministic disturbances. A recursive constant trace least squares algorithm is employed for the estimation of plant and disturbance models. The internal model principle is used to cancel the disturbance in its output asymptotically. The merits of different algorithms are reviewed in terms of estimated parameters, controller structure, convergence and overall performance in the closed-loop environment. Simulation results are provided for the algorithms.

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