On model reference adaptive control and identification-modified algorithms to ease implementation

An adaptive control method is presented for linear deterministic time-invariant systems which adjusts estimated plant parameters, instantaneously providing control and identification. The primary contribution is that a priori data regarding plant poles (zeros) or plant parameters can be easily utilized to minimize the hardware design. Also, alternative modified parameter update algorithms are presented that minimize the implementation cost. Using both the output error and equation error in the parameter update equations, the system is shown to be uniformly asymptotically stable.