Premium
Bilinear models in adaptive control
Author(s) -
Bielińska Ewa,
Zieliński Bartłomiej
Publication year - 2000
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/1099-1115(200012)14:8<799::aid-acs614>3.0.co;2-f
Subject(s) - bilinear interpolation , adaptive control , control theory (sociology) , linear model , linear system , generalized linear model , computer science , key (lock) , mathematics , control (management) , mathematical optimization , algorithm , artificial intelligence , machine learning , statistics , mathematical analysis , computer security
A key issue, which is addressed in the paper, is the development of an efficient adaptive control algorithm for disturbed, non‐linear objects. A generalized non‐linear model of the controlled plant is proposed. Model of disturbances is assumed to be a bilinear time‐series model. Minimum‐variance control of non‐linear systems with bilinear model of disturbances is considered. For a generalized system model simple, weighed and generalized adaptive control algorithms are proposed. A comparison of different non‐linear adaptive control algorithms is performed. Copyright © 2000 John Wiley & Sons, Ltd.