Stochastically Resilient Observer Design for a Class of Continuous-Time Nonlinear Systems

Authors

Chung Seop Jeong, Marquette UniversityFollow
Edwin E. Yaz, Marquette UniversityFollow
Yvonne I. Yaz, Milwaukee School of EngineeringFollow

Document Type

Presentation

Language

eng

Format of Original

6 p.

Publication Date

9-2-2011

Publisher

International Federation of Automatic Control

Source Publication

Proceedings of the 18th IFAC World Congress

Source ISSN

1474-6670

Abstract

This work addresses the design of stochastically resilient or non-fragile continuous-time Luenberger observers for systems with incrementally conic nonlinearities. Such designs maintain the convergence and/or performance when the observer gain is erroneously implemented due possibly to computational errors i.e. round off errors in computing the observer gain or changes in the observer parameters during operation. The error in the observer gain is modeled as a random process and a common linear matrix inequality formulation is presented to address the stochastically resilient observer design problem for a variety of performance criteria. Numerical examples are given to illustrate the theoretical results.

Comments

Published Version. Proceedings of the 18th IFAC World Congress (September, 2011). Permalink. © 2011 The International Federation of Automatic Control. Used with permission.

Recommended Citation

Jeong, Chung Seop; Yaz, Edwin E.; and Yaz, Yvonne I., "Stochastically Resilient Observer Design for a Class of Continuous-Time Nonlinear Systems" (2011). Electrical and Computer Engineering Faculty Research and Publications. 12.
https://epublications.marquette.edu/electric_fac/12