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1998
Springer

State Estimation for Nonlinear Systems Using Restricted Genetic Optimization

9 years 6 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Genetic Optimization). Simulation results are used to compare the performance of this method with EKF (Extended Kalman Filter), IEKF (Iterated Extended Kalman Filter), SNF (Second-order Nonlinear Filter), SIF (Single-stage Iterated Filter) and MSF (Monte-Carlo Simulation Filter) in the presence of diferents levels of noise.
Santiago Garrido, Luis Moreno, Carlos Balaguer
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where IEAAIE
Authors Santiago Garrido, Luis Moreno, Carlos Balaguer
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