Recursive system identification and adaptive control by use of the modified least squares algorithm

In this paper we first use a weaker than persistent excitation condition to establish the strong consistency of MLS for MIMO stochastic systems without monitoring, and give a comparison between various conditions for consistency. Then we show the global convergence for adaptive tracking based on MLS and finally the adaptive tracking and strong consistency results are combined.