Observer design methodology for stochastic and deterministic robustness

Authors: Jung, Jongchul; Huh, Kunsoo; Hee Lee, Tae

Source: International Journal of Control, Volume 81, Number 7, July 2008 , pp. 1172-1182(11)

Publisher: Taylor and Francis Ltd

Buy & download fulltext article:

OR

Price: $56.94 plus tax (Refund Policy)

Abstract:

A unified observer with stochastic and deterministic robustness is developed in this paper so that an observer is less sensitive to both stochastic and deterministic uncertainties. For stochastic robustness, the norm of the observer gain and the lower bound of the observer decay rate are shown to be design factors which can minimize the upper bound of the estimation error variance. For deterministic robustness, the L2 norm-based condition number of the observer eigenvector matrix is utilized to address robust estimation performance against deterministic uncertainties. In order to justify the proposed method, a graphical approach is first introduced, and then a multi-objective optimization problem including linear matrix inequality constraints is formulated to provide the unified robustness.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/00207170701710974

Affiliations: 1: Department of Automotive Engineering, Hanyang University, Seoul, 133-791 Korea

Publication date: 2008-07-01

More about this publication?
Related content

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page