Automatica, Vol.49, No.5, 1494-1500, 2013
Disturbance cancellation for linear systems by adaptive internal models
The adaptive disturbance cancellation problem is considered for single-input, single-output, linear systems when the linear exosystem which generates the disturbances to be rejected and/or the reference signals to be tracked is unknown, that is both its order 2r + 1 and its parameters {omega(1),center dot center dot center dot,omega(r)} are unknown. The proposed regulator makes use of two observers and contains an adaptive internal model which tunes m internal parameters on the basis of the output regulation error. It is shown that: if m >= r, that is the adaptive internal model can reproduce the required input, the regulation error tends exponentially to zero; if m < r, that is the adaptive internal model can only approximate the required input within an approximation error c, the regulation error tends exponentially into a closed ball whose radius is proportional toe, provided that epsilon is sufficiently small so that singularities are avoided. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:Disturbance cancellation;Adaptive regulation;Periodic signals;Linear systems;Adaptive observers