Neural Network Based Bicriterial Dual Control with Multiple Linearization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A43898286" target="_blank" >RIV/49777513:23520/10:43898286 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3182/20100826-3-TR-4015.00051" target="_blank" >http://dx.doi.org/10.3182/20100826-3-TR-4015.00051</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3182/20100826-3-TR-4015.00051" target="_blank" >10.3182/20100826-3-TR-4015.00051</a>

Result language

angličtina

Original language name

Neural Network Based Bicriterial Dual Control with Multiple Linearization

Original language 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

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IFAC-PapersOnline

ISSN

1474-6670

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

1

Country of publishing house

TR - TURKEY

Number of pages

6

Pages from-to

1-6

UT code for WoS article

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EID of the result in the Scopus database

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