Title :
Self-tuning control using the right-matrix-fraction innovation description
Author_Institution :
Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
11/1/1993 12:00:00 AM
Abstract :
An algorithm for self-tuning control of discrete-time linear plant is proposed. The algorithm uses a stochastic right-matrix-fraction innovation description as the system representation, a recursive-prediction-error algorithm for online estimation of the system parameters and the costates, and pole placement plus moving-average control via costate and innovation feedback.
Keywords :
adaptive control; discrete time systems; feedback; identification; matrix algebra; poles and zeros; self-adjusting systems; costate estimation; discrete-time linear plant; moving-average control; online estimation; parameter estimation; pole placement; recursive-prediction-error algorithm; self-tuning control; stochastic right-matrix-fraction innovation description;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
