Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
750369 | Systems & Control Letters | 2009 | 6 Pages |
Abstract
This paper presents an approach to robust nonlinear state estimation based on the use of Integral Quadratic Constraints and minimax LQG control. The approach involves a class of state estimators which includes copies of the system nonlinearities in the state estimator. The nonlinearities being considered are those which satisfy a certain global Lipschitz condition. The linear part of the state estimator is synthesized using minimax LQG control theory which is closely related to H∞H∞ control theory and this leads to a nonlinear state estimator which gives an upper bound on the estimation error cost.
Related Topics
Physical Sciences and Engineering
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Control and Systems Engineering
Authors
Ian R. Petersen,