Distributed Model Predictive Control with Uncertain Communication

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Geliefert zwischen Mi., 08.04.2026 und Do., 09.04.2026

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This thesis investigates model predictive control for distributed systems. To achieve a common task, all subsystems compute and share local predictions with their neighbors. Due to unreliable communication, shared data might be outdated, and uncertain predictions must be used for planning. The proposed control strategies explicitly account for both network-induced and local uncertainties, considering bounded disturbances in a robust control framework and stochastic models within a chance-constrained MPC setting. In addition, the strategies incorporate predictions of the communication network itself to improve the overall system performance. Both schemes ensure recursive feasibility and closed-loop stability by using suitable terminal sets and constraints. Simulations validate constraint satisfaction and performance improvements.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783737612418
    • Lesemotiv Verstehen
    • Genre Thermal Engineering
    • Anzahl Seiten 200
    • Herausgeber kassel university press
    • Größe H11mm x B148mm x T210mm
    • EAN 9783737612418
    • Titel Distributed Model Predictive Control with Uncertain Communication
    • Autor Jannik Hahn
    • Untertitel DE
    • Gewicht 270g

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