Technical Note An algorithm for synthesis of discrete reduced order optimal singular adaptive observers

Sotirov, L.

doi:10.1080/002077299292182

Cited by 3 publications

(2 citation statements)

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“…These estimations might be obtained as a result of organized optimal singular adaptive observation [9][10][11][12][13][14][15][16][17][18][19][20][21][22] of a limited set of exogenous data, which might be formed in one of the following ways:…”

Section: Description Of the Problemmentioning

confidence: 99%

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Computer-mathematical modeling of one class investment processes, based on optimal singular adaptive M3A1N computer observer

Sotirova¹,

Sotirov

2007

Proceedings of the 2007 International Conference on Computer Systems and Technologies - CompSysTech '07

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Absract. The approach proposed in the paper represents financial-economic systems with one input and one output through the optimal singular adaptive M3A1N computer observer as an arbitrary limited set of discrete linearized observable submodels with unknown parameters, unknown initial vector of the endogenous state variables and unknown current state vector of the endogenous state variables. The synthesis of the adaptive M3A1N algorithm is carried out with the help of the toolbox of the Theory of Optimal Singular Adaptive (OSA) Computer Observation and Modeling which has been worked out by the authors in the last 27 years at Varna Technical University.

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Section: Description Of the Problemmentioning

confidence: 99%

“…Impression about the present state and development of the theory of OSA computer observation and modeling could be obtained from [9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Description Of the Problemmentioning

confidence: 99%