Nonlinear Estimation Software Framework in Optimal and Adaptive Control Problems

Flídr, Miroslav; Straka, Ondřej; Šimandl, Miroslav

doi:10.3182/20140824-6-za-1003.02260

Cited by 3 publications

(1 citation statement)

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“…This caused a great deal of trouble when the estimator was a part of closed-loop control. To overcome this, lower level methods had to be used (Flídr et al, 2014). In the GaFT, the input is no more allowed in the measurement equation and the main loop of the estimator is terminated right after measurement update step, thus avoiding this inconvenience.…”

Section: Design Of Practical Oriented Implementationmentioning

confidence: 99%

A new practically oriented generation of nonlinear filtering toolbox**This publication was supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports and by the Czech Science Foundation, project GA15-12068S.

2015

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The paper deals with state estimation problem of nonlinear stochastic dynamic systems with a special focus on a software package supporting problem specification, system simulation, and state estimation itself. The developed package called Gaussian Filtering Toolbox is described, which is a practically oriented successor to the toolbox called Nonlinear Estimation Framework that was oriented rather towards academia with its generality and richness. The developed toolbox is described in terms of its usage and particularly the aspects leading to a better practical applicability. The key features of the toolbox, which are computational complexity reduction and numerical stability enhancement, are illustrated using two numerical examples.

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Section: Design Of Practical Oriented Implementationmentioning

confidence: 99%