Abstract
It is presented in this paper a noise cancellation adaptive control algorithm which has several interesting characteristics. The control methodology utilized is an extended horizon predictive control called GPC with regulation reference models on input and output of the controlled system. The model reference dynamical characteristics are updated to satisfy robustness properties on the closed-loop system. The internal model of Francis and Wonham has been used to reject the noise. The controlled system including the disturbance part and the controllable part, the identification algorithm estimates simultaneously both parts. This last fact makes the estimation problem a nonlinear one, which has been solved by a semi-recursive identification procedure (instead of the standard one-observation recursive procedure). Numerical and experimental results illustrate the efficiency of the approach.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
