Model validation for IQC uncertain systems with fixed initial conditions

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The paper considers a model validation problem for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint and the uncertain system has zero initial condition. The problem is solved by applying methods from linear quadratic optimal control with a fixed endpoint. This leads to a method for model validation which is based around a robust Kalman filter structure. The paper also yields a result on robust set-valued state estimation for uncertain systems in which the initial condition is known to be zero. © 2008 Elsevier B.V. All rights reserved.

Cite

CITATION STYLE

APA

Petersen, I. R. (2002). Model validation for IQC uncertain systems with fixed initial conditions. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 15, pp. 43–48). IFAC Secretariat. https://doi.org/10.1016/j.sysconle.2008.03.013

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free