About: Neural Network Based Bicriterial Dual Control with Multiple Linearization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	A suboptimal dual controller for discrete nonlinear stochastic systems based on the bicriterial approach is proposed and discussed. Two individual criteria are designed and used to introduce one of the conflicting efforts between estimation and control; caution and probing. A nonlinear system is modeled using a neural network (NN) of perceptron type. The unknown parameters of the network are estimated by a global estimation method, the Gaussian sum method (GSM), which allows to determine conditional probability density function (pdf) of the NNs parameters. The GSM in association with an idea of multiple linearization is chosen and utilized in the bicriterial dual control (BDC) approach. The probing component of the control law is determined for each local mode of estimated pdf separately and respects accuracy of each local estimate inherent in the estimated pdf. A comparison of the proposed modified BDC and the BDC which uses a global point estimate only is shown in a numerical example. A suboptimal dual controller for discrete nonlinear stochastic systems based on the bicriterial approach is proposed and discussed. Two individual criteria are designed and used to introduce one of the conflicting efforts between estimation and control; caution and probing. A nonlinear system is modeled using a neural network (NN) of perceptron type. The unknown parameters of the network are estimated by a global estimation method, the Gaussian sum method (GSM), which allows to determine conditional probability density function (pdf) of the NNs parameters. The GSM in association with an idea of multiple linearization is chosen and utilized in the bicriterial dual control (BDC) approach. The probing component of the control law is determined for each local mode of estimated pdf separately and respects accuracy of each local estimate inherent in the estimated pdf. A comparison of the proposed modified BDC and the BDC which uses a global point estimate only is shown in a numerical example. (en)
Title	Neural Network Based Bicriterial Dual Control with Multiple Linearization Neural Network Based Bicriterial Dual Control with Multiple Linearization (en)
skos:prefLabel	Neural Network Based Bicriterial Dual Control with Multiple Linearization Neural Network Based Bicriterial Dual Control with Multiple Linearization (en)
skos:notation	RIV/49777513:23520/10:43898286!RIV12-GA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(1M0572), P(GP102/08/P080), S
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Šimandl, Miroslav Král, Ladislav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	274502
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:43898286
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Neural Networks, Intelligent Control, Adaptive Control, Stochastic Systems, Parameter Estimation, Nonlinear Filtering (en)
http://linked.open.../riv/klicoveSlovo	Parameter Estimation Adaptive Control Stochastic Systems Intelligent Control Nonlinear Filtering Neural Networks
http://linked.open...odStatuVydavatele	TR - Turecká republika
http://linked.open...ontrolniKodProRIV	[5045A969F17A]
http://linked.open...i/riv/nazevZdroje	IFAC-PapersOnline
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Nonlinear system identification by neural networks and its utilization in design of adaptive control and change detection Data, algorithms, decision making
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	10
http://linked.open...iv/tvurceVysledku	Šimandl, Miroslav Král, Ladislav
issn	1474-6670
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.3182/20100826-3-TR-4015.00051
http://localhost/t...ganizacniJednotka	23520

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