This paper presents a discrete time adaptive inversion scheme for linear systems and its usage in adaptive feedforward and feedback controllers. Two parameter adaptation algorithms (PAA) were used in the proposed schemes. The first PAA applies the extended bias-eliminating least-squares (EBELS) algorithm for plant estimation to ensure convergent to a tuned model under colored noise and unmodele...

Almost all problems in computer vision are related in one form or an other to the problem of estimating parameters from noisy data. In this tutorial, we present what is probably the most commonly used techniques for parameter es timation. These include linear least-squares (pseudo-inverse and eigen analysis); orthogonal least-squares; gradient-weighted least-squares; bias-corrected renormal ...