TY - JOUR
T1 - New robust adaptive control system using multiple regularization parameters
AU - Ohmori, H.
AU - Sano, A.
PY - 1990/1/1
Y1 - 1990/1/1
N2 - The design of a discrete-time model reference robust adaptive control system for a plant in the presence of bounded disturbances is investigated. The system uses a robust adaptive algorithm with multiple regularization parameters. This algorithm belongs to the class of leaky integration methods; thus the designed regularization parameters correspond to σ in the σ-modification approach. It is shown how to determine these regularization parameters theoretically such that minimization of the parameter error is attained in the presence of the disturbances, and it is not necessary for the upper bound of the disturbances to be known a priori. Furthermore, persistent spanning is ensured, regardless of the size of the disturbance.
AB - The design of a discrete-time model reference robust adaptive control system for a plant in the presence of bounded disturbances is investigated. The system uses a robust adaptive algorithm with multiple regularization parameters. This algorithm belongs to the class of leaky integration methods; thus the designed regularization parameters correspond to σ in the σ-modification approach. It is shown how to determine these regularization parameters theoretically such that minimization of the parameter error is attained in the presence of the disturbances, and it is not necessary for the upper bound of the disturbances to be known a priori. Furthermore, persistent spanning is ensured, regardless of the size of the disturbance.
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U2 - 10.1109/cdc.1990.204009
DO - 10.1109/cdc.1990.204009
M3 - Conference article
AN - SCOPUS:0025559775
SN - 0191-2216
VL - 4
SP - 2163
EP - 2169
JO - Proceedings of the IEEE Conference on Decision and Control
JF - Proceedings of the IEEE Conference on Decision and Control
T2 - Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6)
Y2 - 5 December 1990 through 7 December 1990
ER -