Identification of Exponentially Damped Sinusoidal Signals
نویسندگان
چکیده
A discrete-time internal model principle based adaptive algorithm for identifying signals composed of a sum of exponentially damped sinusoids is presented. The time varying state variables of an internal model principle controller in a feedback loop can provide estimates of the exponentially damped sinusoidal signal parameters, the damping factor and the frequency. By using additional integral controllers, the estimation errors can be eliminated. The convergence of the proposed algorithm is justified using discrete-time averaging theory. Simulation results demonstrate the performance of this algorithm for signal identification.
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