Norm-Constrained Consider Kalman Filtering
Author:
Affiliation:
1. Department of Mechanical Engineering, McGill University, Montreal, Quebec H3A 2K6, Canada
2. Department of Aerospace Engineering, University of Michigan, Ann Arbor, Michigan 48109-2140
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering
Link
http://arc.aiaa.org/doi/pdf/10.2514/1.G000344
Reference16 articles.
1. A New Approach to Linear Filtering and Prediction Problems
2. Optimal State Estimation
3. A new method for the nonlinear transformation of means and covariances in filters and estimators
4. Use of a kinematic constraint in tracking constant speed, maneuvering targets
5. Kalman filtering with state constraints: a survey of linear and nonlinear algorithms
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