Cooperative Stochastic MPC Under Hard Input Constraints and Event-Triggered Communication
Resumen: In this work, we develop a new distributed output-feedback stochastic model-predictive control (SMPC) proposal for a plant that is cooperatively regulated by a set of actuator nodes. Contrary to most approaches, we consider hard constraints on the actuators, and we appropriately tighten the constraints to ensure recursive feasibility with a given probability, despite the stochastic noise present in the system. To lighten the communication load, the constraint design is performed offline, and an event-triggering mechanism is included, so that the nodes only need to transmit their local state estimates to neighbors at event instants during online execution. We prove constraint satisfaction and stability of our proposal, and we include simulation results showing that similar control performance to the centralized case can be achieved by our distributed SMPC with reduced communication.
Idioma: Inglés
DOI: 10.1109/TCNS.2025.3648472
Año: 2025
Publicado en: IEEE Transactions on Control of Network Systems 13, 1 (2025), 436-448
ISSN: 2325-5870

Tipo y forma: Article (Published version)
Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2026-04-10-13:46:08)


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Articles > Artículos por área > Ingeniería de Sistemas y Automática



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