By Topic

Verification of the Self-Stabilization Mechanism in Robust Stochastic Adaptive Control using Lyapunov Function Arguments

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
$33 $13
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)
Miloje Radenkovic ; Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, U.S.A. ; Anthony N. Michel

The objective of this paper is to propose a new algorithm for self-tuning control in the presence of unmodeled dynamics. It is shown (with probability one) that the resulting closed-loop system is globally stable and the mean-square tracking error is proportional to the size of unmodeled dynamics. In the absence of unmodeled dynamics, the algorithm produces the minimum-variance self-timing control. It is analytically verified that the proposed algorithm has self-stabilization property, i.e., possible occurance of instability results in mean-square bounded signals.

Published in:

American Control Conference, 1991

Date of Conference:

26-28 June 1991