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Adaptive arrival cost update for improving Moving Horizon Estimation performance
(Elsevier Science Inc, 2017-05)
Moving horizon estimation is an efficient technique to estimate states and parameters of constrained dynamical systems. It relies on the solution of a finite horizon optimization problem to compute the estimates, providing ...
Another prefiltering algorithm for adaptive IIR filtering
(1995-12-01)
An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies ...
Another prefiltering algorithm for adaptive IIR filtering
(1995-12-01)
An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies ...
Robust stability of moving horizon estimation for non-linear systems with bounded disturbances using adaptive arrival cost
(Institution of Engineering and Technology, 2020-12)
The robust stability and convergence to the true state of a moving horizon estimator based on an adaptive arrival cost are established for non-linear detectable systems in this study. Robust global asymptotic stability is ...
Application of Affine Estimators to Single Tone Frequency Estimation
(Sociedad Argentina de Informática, 2012)
Affine estimation has emerged as a promising technique toreduce the mean squared error (MSE) between the estimated parametersand the true value of these parameters. The aim of this paper is to obtainan affine estimator for ...
Adaptive estimation of heteroskedastic econometric modelsAdaptive estimation of heteroskedastic econometric models
(Sociedade Brasileira de Econometria, 1987)
Fault section estimation in power systems using an Adaptive Genetic Algorithm
(2016-11-10)
This paper proposes a methodology based on the unconstrained binary programming (UBP) model and an Adaptive Genetic Algorithm (AGA) to solve the fault section estimation problem in power systems. The UBP model is formulated ...
Fault Section Estimation in Power Systems Using an Adaptive Genetic Algorithm
(Ieee, 2016-01-01)
This paper proposes a methodology based on the unconstrained binary programming (UBP) model and an Adaptive Genetic Algorithm (AGA) to solve the fault section estimation problem in power systems. The UBP model is formulated ...