Title :
Robust adaptive regulation without persistent excitation
Author :
Lozano-leal, Rogelio
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
fDate :
12/1/1989 12:00:00 AM
Abstract :
A globally convergent adaptive regulator for minimum or nonminimum phase systems subject to bounded disturbances is presented. The control strategy is designed for a particular input-output representation obtained from the state-space representation of the system. The leading coefficient of the novel representation is the product of the observability and controllability matrices of the system. The controller scheme uses a least-squares identification algorithm with a dead zone. The dead zone is chosen to obtain convergence properties on the estimates and on the covariance matrix as well. This allows the definition of modified estimates which secure well-conditioned matrices in the adaptive control law. Explicit bounds on the plant output are given
Keywords :
adaptive control; controllability; convergence; identification; least squares approximations; matrix algebra; observability; state-space methods; adaptive control; controllability matrices; dead zone; globally convergent adaptive regulator; input-output representation; least-squares identification; minimum phase systems; nonminimum phase systems; observability matrix; state-space representation; well-conditioned matrices; Adaptive control; Controllability; Convergence; Covariance matrix; Delay estimation; Frequency; Projection algorithms; Regulators; Robustness; Stability;
Journal_Title :
Automatic Control, IEEE Transactions on