Functional adaptive controller for multivariable stochastic systems with dynamic structure of neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898218" target="_blank" >RIV/49777513:23520/11:43898218 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/acs.1250" target="_blank" >http://dx.doi.org/10.1002/acs.1250</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/acs.1250" target="_blank" >10.1002/acs.1250</a>
Alternative languages
Result language
angličtina
Original language name
Functional adaptive controller for multivariable stochastic systems with dynamic structure of neural network
Original language description
The article deals with a challenging problem of adaptive control design for multivariable stochastic systems with a functional uncertainty. Model of the system is based on multi-layered perceptron neural networks where both the unknown parameters and thestructure are found in real time without a necessity of any off-line training process. The unknown parameters are estimated by a global estimation method, the Gaussian sum filter, and the structure of the neural network model is optimized by a proposedpruning method. The control law is based on a bicriterial approach to the suboptimal dual control. Two individual criteria are designed and used to introduce conflicting efforts between the estimation and control; probing and caution. A comparison of theproposed dual control and its alternative with an implementation of the pruning algorithm is shown in a numerical example.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
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
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
ISSN
0890-6327
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
949-964
UT code for WoS article
000297016400001
EID of the result in the Scopus database
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