Online identification of continuous-time systems with unknown time delay
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TL;DR
A recursive algorithm for online identification of systems with unknown time delay can be interpreted as an approximate nonlinear least-squares, corresponding to modified normalized or un-normalized least-Squares when the normalizing factor /spl gamma/>0 or /spl Gamma/=0, respectively.
Abstract
In this note, we present a recursive algorithm for online identification of systems with unknown time delay. The proposed algorithm can be interpreted as an approximate nonlinear least-squares, corresponding to modified normalized or un-normalized least-squares when the normalizing factor γ > 0 or γ = 0, respectively. Both algorithms are essentially extensions to general least-squares methodology. Simulation studies demonstrate the characteristics and performance of these algorithms.