Robust state-derivative feedback LMI-based designs for linear descriptor systems

22Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Techniques for stabilization of linear descriptor systems by state-derivative feedback are proposed. The methods are based on Linear Matrix Inequalities (LMIs) and assume that the plant is a controllable system with poles different from zero. They can include design constraints such as: decay rate, bounds on output peak and bounds on the state-derivative feedback matrix K, and can be applied in a class of uncertain systems subject to structural failures. These designs consider a broader class of plants than the related results available in the literature. The LMI can be efficiently solved using convex programming techniques. Numerical examples illustrate the efficiency of the proposed methods. © 2010 Flavio A. Faria et al.

Cite

CITATION STYLE

APA

Faria, F. A., Assuno, E., Teixeira, M. C. M., & Cardim, R. (2010). Robust state-derivative feedback LMI-based designs for linear descriptor systems. Mathematical Problems in Engineering. https://doi.org/10.1155/2010/927362

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