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On Solving Continuous-Discrete Projection Filters via Sum-of-Squares Relaxation
The continuous-discrete projection filter offers a rigorous framework to approximate the solution of the nonlinear state estimation problems. However, it suffers from numerical instability during the prediction phase when integration errors force the natural parameters outside their admissible domai
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