Multi-input multi-output direct model reference adaptive control for systems with known nonminimum-phase zeros

This paper presents a direct model reference adaptive controller for multi-input multi-output linear systems with known nonminimum-phase zeros. This controller uses a surrogate tracking error, which approximates the true tracking error. The recursive-least-squares-based adaptive law is developed by minimizing an integral quadratic cost of the surrogate tracking error.