On estimation of parameters in linear models
R. Zmyślony (1976)
Applicationes Mathematicae
Similarity:
R. Zmyślony (1976)
Applicationes Mathematicae
Similarity:
Krzysztof B. Janiszowski, Paweł Wnuk (2016)
International Journal of Applied Mathematics and Computer Science
Similarity:
An approach to estimation of a parametric discrete-time model of a process in the case of some a priori knowledge of the investigated process properties is presented. The knowledge of plant properties is introduced in the form of linear bounds, which can be determined for the coefficient vector of the parametric model studied. The approach yields special biased estimation of model coefficients that preserves demanded properties. A formula for estimation of the model coefficients is derived...
Solev, V.N., Haghighi, F. (2004)
Journal of Mathematical Sciences (New York)
Similarity:
Lainiotis, D.G., Papaparaskeva, Paraskevas, Plataniotis, Kostas (1996)
Mathematical Problems in Engineering
Similarity:
Tabatabai, M.A. (1995)
Southwest Journal of Pure and Applied Mathematics [electronic only]
Similarity:
Lenka Pavelková (2011)
Kybernetika
Similarity:
The paper deals with parameter and state estimation and focuses on two problems that frequently occur in many practical applications: (i) bounded uncertainty and (ii) missing measurement data. An algorithm for the state estimation of the discrete-time non-linear state space model whose uncertainties are bounded is proposed. The algorithm also copes with situations when some measurements are missing. It uses Bayesian approach and evaluates maximum a posteriori probability (MAP) estimates...
H. Truszczyńska (1987)
Applicationes Mathematicae
Similarity:
Kazimierz Duzinkiewicz (2006)
International Journal of Applied Mathematics and Computer Science
Similarity:
The paper considers a set membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. A recursive estimation algorithm with a moving measurement window is derived that is suitable for on-line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly improves estimate tightness. The estimator is validated on a case study regarding a water distribution...
P.-H. Cournède, V. Letort, A. Mathieu, M. Z. Kang, S. Lemaire, S. Trevezas, F. Houllier, P. de Reffye (2011)
Mathematical Modelling of Natural Phenomena
Similarity:
The development of functional-structural plant models has opened interesting perspectives for a better understanding of plant growth as well as for potential applications in breeding or decision aid in farm management. Parameterization of such models is however a difficult issue due to the complexity of the involved biological processes and the interactions between these processes. The estimation of parameters from experimental data by...
F. Kappel (2012)
Mathematical Modelling of Natural Phenomena
Similarity:
In this paper we give a survey on modeling efforts concerning the CVRS. The material we discuss is organized in accordance with modeling goals and stresses control and transport issues. We also address basic modeling approaches and discuss some of the challenges for mathematical modeling methodologies in the context of parameter estimation and model validation.