TY - JOUR
T1 - Robust Model Reference Adaptive Control
AU - Kreisselmeier, Gerhard
AU - Anderson, Brian D.O.
PY - 1986/2
Y1 - 1986/2
N2 - We propose a new model reference adaptive control algorithm and show that it provides the robust stability of the resulting closed-loop adaptive control system with respect to unmodeled plant uncertainties. The robustness is achieved by using a relative error signal in combination with a dead zone and a projection in the adaptive law. The extra a priori information needed to design the adaptive law, are bounds on the plant parameters and an exponential bound on the impulse response of the inverse plant transfer function. 0018-9286/86/0200-0127901.00
AB - We propose a new model reference adaptive control algorithm and show that it provides the robust stability of the resulting closed-loop adaptive control system with respect to unmodeled plant uncertainties. The robustness is achieved by using a relative error signal in combination with a dead zone and a projection in the adaptive law. The extra a priori information needed to design the adaptive law, are bounds on the plant parameters and an exponential bound on the impulse response of the inverse plant transfer function. 0018-9286/86/0200-0127901.00
UR - http://www.scopus.com/inward/record.url?scp=0022665523&partnerID=8YFLogxK
U2 - 10.1109/TAC.1986.1104217
DO - 10.1109/TAC.1986.1104217
M3 - Article
AN - SCOPUS:0022665523
SN - 0018-9286
VL - 31
SP - 127
EP - 133
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 2
ER -