The parallel implementation of a cascade adaptive identification algorithm

This note presents a new method of parameter estimation, called cascading, for use in adaptive control. The algorithm is shown to be superior to a simple recursive least-squares estimator especially for a system characterized by noisy measurements. The algorithm can be implemented easily on a parallel processor such as ORAC [1], [2] or any sequential processor. When the algorithm is implemented on a parallel processor such as ORAC the real time used to compute the parameter estimates is of the same order as a recursive least-squares estimator.