Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922206" target="_blank" >RIV/49777513:23520/14:43922206 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/MED.2014.6961517" target="_blank" >http://dx.doi.org/10.1109/MED.2014.6961517</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MED.2014.6961517" target="_blank" >10.1109/MED.2014.6961517</a>
Alternative languages
Result language
angličtina
Original language name
Gaussian Process Based Dual Adaptive Control of Nonlinear Stochastic Systems
Original language description
The paper proposes a suboptimal adaptive control for a nonlinear stochastic system subject to functional uncertainty. The problem of a real-time identification of the unknown nonlinear system is tackled by using the Gaussian process based non-parametricmodel. The covariance function of the Gaussian process is chosen in such a way that allows deriving the control law in a closed form. The control action stems from the bicriterial dual approach that uses two separate criteria to introduce both of the mutually opposing aspects between estimation and control. Properties of the novel dual controller are tested and validated in a numerical example by Monte Carlo analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding of the 22nd Mediterrian Conference on Control and Automation
ISBN
978-1-4799-5900-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1074-1079
Publisher name
IEEE
Place of publication
Palermo, Itálie
Event location
Palermo, Itálie
Event date
Jun 16, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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