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2015Author
Groß, DominicSubject
004 Data processing and computer science 510 Mathematics TelekommunikationsnetzKontrolleParallelverarbeitungRobuste OptimierungMetadata
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Distributed Model Predictive Control with Event-Based Communication
Abstract
In this thesis, several algorithms for distributed model predictive control over digital communication networks with parallel computation are developed and analyzed. Distributed control aims at efficiently controlling large scale dynamical systems which consist of interconnected dynamical systems by means of communicating local controllers. Such distributed control problems arise in applications such as chemical processes, formation control, and control of power grids. In distributed model predictive control the underlying idea is to solve a large scale model predictive control problem in a distributed fashion in order to achieve faster computation and better robustness against local failures. Distributed model predictive control often heavily relies on frequent communication between the local model predictive controllers. However, a digital communication network may induce uncertainties such as a communication delays, especially if the load on the communication network is high. One topic of this thesis is to develop a distributed model predictive control algorithm for subsystems interconnected by constraints and common control goals which is robust with respect to time-varying communication delays.
Additional Information
Zugleich: Universität Kassel, Dissertation, 2014Druckausgabe
Citation
@book{doi:10.19211/KUP9783862199112,
urn:nbn:de:0002-39110,
author={Groß, Dominic},
title={Distributed Model Predictive Control with Event-Based Communication},
publisher={kassel university press},
year={2015}
}
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2023-08-22T15:05:30Z 2023-08-22T15:05:30Z 2015 doi:10.19211/KUP9783862199112 978-3-86219-911-2 (e-book) urn:nbn:de:0002-39110 http://hdl.handle.net/123456789/15018 Zugleich: Universität Kassel, Dissertation, 2014 eng kassel university press Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 510 Distributed Model Predictive Control with Event-Based Communication Buch In this thesis, several algorithms for distributed model predictive control over digital communication networks with parallel computation are developed and analyzed. Distributed control aims at efficiently controlling large scale dynamical systems which consist of interconnected dynamical systems by means of communicating local controllers. Such distributed control problems arise in applications such as chemical processes, formation control, and control of power grids. In distributed model predictive control the underlying idea is to solve a large scale model predictive control problem in a distributed fashion in order to achieve faster computation and better robustness against local failures. Distributed model predictive control often heavily relies on frequent communication between the local model predictive controllers. However, a digital communication network may induce uncertainties such as a communication delays, especially if the load on the communication network is high. One topic of this thesis is to develop a distributed model predictive control algorithm for subsystems interconnected by constraints and common control goals which is robust with respect to time-varying communication delays. open access Groß, Dominic 2014-11-12 vi, 168 Seiten Kassel, Universität Kassel, Fachbereich Elektrotechnik / Informatik Stursberg, Olaf (Prof. Dr.) Iunze, Jan (Prof. Dr.) Kassel 978-3-86219-910-5 (print) Telekommunikationsnetz Kontrolle Parallelverarbeitung Robuste Optimierung publishedVersion true 39,00 Naturwissenschaft, Technik, Informatik, Medizin Dissertation FB 16 Elektrotechnik / Informatik true Softcover DIN A5
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Urheberrechtlich geschützt