Title :
A discrete-time adaptive nonlinear system
Author :
Kanellakopoulos, Ioannis
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
11/1/1994 12:00:00 AM
Abstract :
A new least-squares estimator with nonlinear data weighting is developed and used to adaptively control a simple discrete-time nonlinear system. A global stability result is obtained through Lyapunov analysis without assuming any growth conditions on the nonlinearities
Keywords :
Lyapunov methods; adaptive control; control nonlinearities; discrete time systems; least squares approximations; nonlinear control systems; parameter estimation; stability; Lyapunov analysis; discrete-time adaptive nonlinear system; global stability; least-squares estimator; nonlinear data weighting; nonlinearities; Adaptive control; Adaptive systems; Control nonlinearities; Control systems; Feedback; Lyapunov method; Nonlinear control systems; Nonlinear systems; Sampling methods; Stability analysis;
Journal_Title :
Automatic Control, IEEE Transactions on