Title :
Linear quadratic optimal estimation and control with receding horizon
Author_Institution :
Ã\x89cole Nationale Supérieure de Mécanique, Laboratoire d´Automatique, Nantes, France
Abstract :
Implementation of linear quadratic optimal regulators and Kalman estimators is not straightforward where industrial process control is concerned. This is mainly due to the requirement that many parameters (Q and R matrices, spectral-density matrices) having no direct physical meaning must be chosen a priori. The letter contains simplified optimal algorithms that lead to stationary gains, given by explicit expressions.
Keywords :
Kalman filters; control system synthesis; optimal control; process control; Kalman estimators; industrial process control; linear quadratic optimal estimation; receding horizon control; spectral density matrices; stationary gains;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19750015