By Topic

Norm-optimal control of time-varying discrete repetitive processes with iteration-varying reference inputs

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 $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)
Omer, E.A. ; Div. of Eng., Colorado Sch. of Mines, Golden, CO, USA ; Moore, K.L.

This paper extends the norm-optimal control design methodology of iterative learning control (ILC) to the case of linear time-varying discrete repetitive processes (LTV-DRP) driven by known iteration-varying reference input signals. Our approach exploits the idea of the internal model principle for robust servomechanism design and uses a state-space model of LTV-DRPs introduced in our earlier work. A general state-feedback solution to the problem is derived that contains as special cases the solutions for time-invariant DRPs and iteration-invariant reference signals as well as the equivalent solutions for the ILC case. A numerical example illustrates the results.

Published in:

Multidimensional (nD) Systems (nDs), 2011 7th International Workshop on

Date of Conference:

5-7 Sept. 2011