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Title: Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty
We present a framework which incorporates three aspects of the estimation problem, namely, sparse sensor con- figuration, optimal precision, and robustness in the presence of model uncertainty. The problem is formulated in the H∞ optimal observer design framework. We consider two types of uncertainties in the system, i.e. structured affine and un- structured uncertainties. The objective is to design an observer with a given H∞ performance index with minimal number of sensors and minimal precision values, while guaranteeing the performance for all admissible uncertainties. The problem is posed as a convex optimization problem subject to linear matrix inequalities. Numerical simulations demonstrate the application of the theoretical results presented in this work.  more » « less
Award ID(s):
1762825
PAR ID:
10288122
Author(s) / Creator(s):
;
Date Published:
Journal Name:
American Control Conference
Page Range / eLocation ID:
4105 to 4110
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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