By Topic

Adaptive Kriging control of discrete-time nonlinear systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wu, H. ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing ; Sun, F.

A novel adaptive Kriging controller for a class of discrete-time nonlinear systems with known control gains is proposed. The dynamic models of the systems may involve uncertainties that can be described as realizations of Gaussian random functions. The Kriging system is used to approximate the uncertainties, and an adaptive control law is established so that the tracking error remains bounded. To eliminate the infinite increase of the data size in the Kriging system, which usually occurs in non-parametric estimator-based adaptive controllers, a recursive Kriging estimation algorithm is proposed. In addition, the application of the proposed control scheme is extended to the case of uncertain control gain. Finally, some numerical examples are given to show the viability and effectiveness of the proposed control approach

Published in:

Control Theory & Applications, IET  (Volume:1 ,  Issue: 3 )