Alternative Approach to Optimization in Model Predictive Control Using Hill Climbing Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873819" target="_blank" >RIV/70883521:28140/15:43873819 - 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
Alternative Approach to Optimization in Model Predictive Control Using Hill Climbing Algorithm
Original language description
The term predictive control designates a class of control methods suitable for control of various kinds of systems. One of the major advantages of predictive control is its ability to do on-line constraints handling in a systematic way. The predictive control is based on the prediction of a system behavior using a model. Based on this prediction, it is possible to optimize the systems behavior by utilization of a cost function. Each of control variables may be limited thus creating a specific subspace within a cost function. This problem is computationally complex and must be solved in each sampling period by optimization algorithms. Various kinds of algorithms may be applied. This contribution is focused on an alternative approach to optimization by implementation of Hill Climbing algorithm. The motivation for this concept is an effort to find algorithms suitable for reduction of computational expenses. These algorithms might be applied for control of systems with faster dynamics.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of DAAAM International for 2015, Volume 26
ISBN
978-3-902734-06-8
ISSN
2304-1382
e-ISSN
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Number of pages
10
Pages from-to
"Nestránkováno"
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Zadar
Event date
Oct 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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