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IEEE Transactions on Automatic Control, Vol.65, No.6, 2309-2324, 2020
Removing SPR-Like Conditions in Adaptive Feedforward Control of Uncertain Systems
This paper considers the problem of designing adaptive feedforward control (AFC) systems for uncertain single-input single-output linear systems perturbed by multisinusoidal disturbances of known frequencies. The proposed approach removes the longstanding assumption that either the sign of the real part or the imaginary part of the transfer function of a stable plant at the frequency of excitation is known for AFC to be applicable, which is referred to in this paper as a strictly positive real (SPR)-like condition. Notable features of the solution are that persistence of excitation is not required, and stability analysis tools based on averaging are avoided; hence, the requirement of an exponentially stable equilibrium for the closed-loop system is circumvented.
Keywords:Closed loop systems;Heuristic algorithms;Adaptive systems;Feedforward systems;Stability analysis;Adaptation models;Uncertainty;Adaptive control;Lyapunov methods;nonlinear control systems