Adaptive control of time-varying systems based on parameter set estimation

Adaptive control of time-varying plants, in the presence of unmodeled dynamics and bounded disturbances, via parameter set estimation is proposed. The set estimator uses normalization and maps the uniformly bounded equation error on parametric error, which characterizes the modeled part of the plant...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171) Vol. 4; pp. 4002 - 4007 vol.4
Main Authors Watkins, J.M., Kiriakidis, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Adaptive control
Ellipsoids
Equations
Parameter estimation
Programmable control
Robustness
State estimation
Systems engineering and theory
Time varying systems
Weapons
Online AccessGet full text
ISBN9780780343948
0780343948
ISSN0191-2216
DOI10.1109/CDC.1998.761923

Cover

More Information
Summary:Adaptive control of time-varying plants, in the presence of unmodeled dynamics and bounded disturbances, via parameter set estimation is proposed. The set estimator uses normalization and maps the uniformly bounded equation error on parametric error, which characterizes the modeled part of the plant. Based on the information from the set estimator, a switching control criterion selects the parametric vector from a set of nominal model parameters and tunes in the adaptive controller. At the same time, through stabilization against the parametric error, the policy renders the closed-loop modeled dynamics robust with respect to the equation error mechanisms.
ISBN:9780780343948
0780343948
ISSN:0191-2216
DOI:10.1109/CDC.1998.761923