MPC-based approximate dual controller by information matrix maximization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00199024" target="_blank" >RIV/68407700:21230/13:00199024 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/acs.2370" target="_blank" >http://dx.doi.org/10.1002/acs.2370</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/acs.2370" target="_blank" >10.1002/acs.2370</a>
Alternative languages
Result language
angličtina
Original language name
MPC-based approximate dual controller by information matrix maximization
Original language description
This paper proposes a method to approximate a dual controller by a omputationally feasible algorithm. Dual control that optimally solves the problem of simultaneous control and identification of a system with uncertain parameters is known to be both analytically and computationally unsolvable. This paper proposes a multiple-step active control algorithm that gives a suboptimal but tractable solution to the original dual kontrol problem. The algorithm is based on model predictive control (MPC) and approximates persistent systém excitation in terms of the increase of the lowest eigenvalue of the parameter estimate information matrix.
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
JB - Sensors, detecting elements, measurement and regulation
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)
Others
Publication year
2013
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
27
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
26
Pages from-to
974-999
UT code for WoS article
000326031500004
EID of the result in the Scopus database
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