Semi-receding Horizon Algorithm for ?Sufficiently Exciting MPC with Adaptive Search Step
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00438351" target="_blank" >RIV/67985556:_____/14:00438351 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Semi-receding Horizon Algorithm for ?Sufficiently Exciting MPC with Adaptive Search Step
Original language description
In this paper, the task of finding an algorithm providing sufficiently excited data within the MPC framework is tackled. Such algorithm is expected to take action only when the re-identification is needed and it shall be used as the ?least costly closedloop identification experiment for MPC. The already existing approach based on maximization of the smallest eigenvalue of the information matrix increase is revised and an adaptation by introducing a semi-receding horizon principle is performed. Further,the optimization algorithm used for the maximization of the provided information is adapted such that the constraints on the maximal allowed control performance deterioration are handled more carefully and are incorporated directly into the process instead of using them just as a termination condition. The effect of the performed adaptations is inspected using a numerical example.
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
<a href="/en/project/GA13-20433S" target="_blank" >GA13-20433S: Analysis and control of globally decomposed strongly nonlinear state space dynamical models with complex interactions of their components</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Proceedings of the 53rd IEEE Conference on Decision and Control (CDC 2014)
ISBN
978-1-4673-6088-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
4142-4147
Publisher name
IEEE
Place of publication
Los Angeles
Event location
Los Angeles
Event date
Dec 15, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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