Title :
Adaptive tracking using ARMARKOV/Toeplitz models
Author :
Venugopal, Ravinder ; Bernstein, Dennis S.
Author_Institution :
Dept. of Aerosp. Eng., Michigan Univ., Ann Arbor, MI, USA
Abstract :
An adaptive algorithm is developed for the MIMO tracking problem. The MIMO system and controller are represented as ARMARKOV/Toeplitz models, and the parameter matrix of the compensator is updated online by means of a gradient algorithm. The algorithm does not require any knowledge of the plant. Simulation results on a fourth order system are presented
Keywords :
MIMO systems; Markov processes; Toeplitz matrices; adaptive control; compensation; conjugate gradient methods; multivariable control systems; tracking; ARMA Markov models; ARMARKOV/Toeplitz models; MIMO controller; MIMO system; MIMO tracking problem; adaptive algorithm; adaptive tracking; compensator parameter matrix updating; fourth order system; gradient algorithm; simulation results; Active noise reduction; Adaptive algorithm; Adaptive control; Control system synthesis; Feedback control; Frequency; MIMO; Noise cancellation; Riccati equations; Signal generators;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.694646
