Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems.

Based on the input–output representation of one-step state-delay systems, we use the auxiliary model-based recursive least-squares algorithm to estimate the parameters of the systems and study the convergence of the proposed algorithm by using the stochastic process theory. A simulation example is provided. [ABSTRACT FROM PUBLISHER]