A globally convergent adaptive predictor

This paper establishes global convergence for an adaptive prediction algorithm. Key features of the algorithm are (i) a priori residuals are used in the regression vector, (ii) the input signal need not be persistently exciting, (iii) only an upper bound is required on the system order, (iv) no monitoring or projection procedure is required to guarantee stability and (v) arbitrary feedback is allowed between output and input.