TY - JOUR
T1 - On the design of integral and proportional integral observers
AU - Busawon, Krishna
AU - Kabore, Pousga
PY - 2000
Y1 - 2000
N2 - This paper deals with the design of integral and proportional integral observers for linear uncertain systems. It is shown that, when only sensor noise is present in the system, integral observers permits to achieve good convergence and filtering properties. On the other hand, when modeling errors and sensor noise are present, it is shown that, for some classes of systems, the proportional integral observer allows to decouple completely the modeling uncertainties while keeping satisfactory convergence properties. A comparison of the classical proportional observer to the proposed observers are given via simulation examples.
AB - This paper deals with the design of integral and proportional integral observers for linear uncertain systems. It is shown that, when only sensor noise is present in the system, integral observers permits to achieve good convergence and filtering properties. On the other hand, when modeling errors and sensor noise are present, it is shown that, for some classes of systems, the proportional integral observer allows to decouple completely the modeling uncertainties while keeping satisfactory convergence properties. A comparison of the classical proportional observer to the proposed observers are given via simulation examples.
UR - https://www.scopus.com/pages/publications/0034545950
U2 - 10.1109/ACC.2000.876916
DO - 10.1109/ACC.2000.876916
M3 - Article
SN - 0743-1619
VL - 6
SP - 3725
EP - 3729
JO - Proceedings of the American Control Conference
JF - Proceedings of the American Control Conference
ER -