A Tree-Based Multi-Scenario Approach to Networked MPC under Packet Losses and Disturbances

T. Arauz, J. M. Maestre, A. Cetinkaya, C. Stoica Maniu

Research output: Contribution to journalConference articlepeer-review


Systems with elements linked via a communication network are vulnerable to communication problems and attacks of malicious agents, with potentially harmful consequences for performance and stability. This paper proposes a stochastic Model Predictive Control (MPC) scheme to deal with two different sources of uncertainties simultaneously, namely, packet losses and external disturbances. In particular, the controller deals with packet losses using a tree-based approach and is robustified against external disturbances using a multiple scenario approach. Finally, the algorithm performance is compared via simulation with other MPC alternatives and a feedback control law.

Original languageEnglish
Pages (from-to)296-301
Number of pages6
Issue number16
Publication statusPublished - 2022 Jul 1
Event18th IFAC Workshop on Control Applications of Optimization, CAO 2022 - Gif sur Yvette, France
Duration: 2022 Jul 182022 Jul 22


  • Cyber-Physical Systems
  • Linear Control Systems
  • Model-based Predictive Control
  • Robust Control and Stabilization
  • Stochastic Optimization

ASJC Scopus subject areas

  • Control and Systems Engineering


Dive into the research topics of 'A Tree-Based Multi-Scenario Approach to Networked MPC under Packet Losses and Disturbances'. Together they form a unique fingerprint.

Cite this