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  4. Interconnected systems with stochastic communication: decomposition methods for analysis and synthesis
 
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Interconnected systems with stochastic communication: decomposition methods for analysis and synthesis

Citation Link: https://doi.org/10.15480/882.15421
Publikationstyp
Doctoral Thesis
Date Issued
2025
Sprache
English
Author(s)
Hespe, Christian  orcid-logo
Advisor
Werner, Herbert  
Referee
Massioni, Paolo  
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2025-05-20
Institute
Regelungstechnik E-14  
TORE-DOI
10.15480/882.15421
TORE-URI
https://hdl.handle.net/11420/56348
Citation
Verlag Dr. Hut 978-3-8439-5631-4: (2025)
Publisher
Verlag Dr. Hut
ISBN
978-3-8439-5631-4
Large-scale dynamic systems with distributed control often rely on communication networks that are prone to random packet loss. While this randomness is generally disregarded in current approaches, it can potentially result in instability and suboptimal performance. In order to mitigate these issues, this thesis proposes a framework that is both scalable to large interconnected systems and explicitly considers the random packet loss during analysis and controller synthesis. Initially covering homogeneous loss distributions, the results are subsequently extended to handle heterogeneous probabilities, spatio-temporal dependencies, and time-varying topologies.
Subjects
interconnected systems
distributed control
stochastic packet loss
distributional robustness
DDC Class
003.5: Communication and Control
Lizenz
https://creativecommons.org/licenses/by/4.0/
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