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EngineeringComputer ScienceMathematics

Kalman filtering with state constraints: a survey of linear and nonlinear algorithms

D. Simon

2010.8.5IET Control Theory and Applications

DOI: 10.1049/iet-cta.2009.0032

tlooto Summary

This paper provides an overview of various ways to incorporate state constraints in the Kalman filter and its nonlinear modifications, and which is the optimal constrained linear state estimate.

Abstract

Abstract is not available.

Citation format

SIMON, D. Kalman filtering with state constraints: A survey of linear and nonlinear algorithms. IET Control Theory and Applications, 2010, 4: 1303–1318.