A pole dominance approach for adaptive control and dynamic model reduction of large scale systems

This paper presents a dynamic model reduction (DMR) technique based on the concept of pole dominance applied to direct model reference adaptive control (DMRAC). The stability analysis is performed through Lyapunov's theory and does not require the plant to be strictly positive real (SPR). It is shown how asymptotic stability can be obtained through the implementation of the DMR scheme together with residual mode filters (RMF). Simulation results are carry out to illustrate the regulation and tracking outstanding performances of the proposed scheme.