Resilient tube-based MPC for Cyber-Physical Systems Under DoS Attacks
Language
EN
Communication dans un congrès avec actes
This item was published in
11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - SAFEPROCESS 2022, SAFEPROCESS 2022, 2022-06-08, Pafos. 2022, vol. 55, n° 6, p. 278-284
English Abstract
This paper proposes a resilient and robust model predictive control (MPC) scheme for a class of Cyber-Physical Systems (CPS) subject to state and input constraints, unknown but bounded disturbances and Denial of Service ...Read more >
This paper proposes a resilient and robust model predictive control (MPC) scheme for a class of Cyber-Physical Systems (CPS) subject to state and input constraints, unknown but bounded disturbances and Denial of Service (DoS) attacks. The attacker blocks the controller to actuator communication and the attacks are assumed to be time-limited. The control is designed by extending a robust tube-based MPC, where a new type of invariant set, namely µ-step Robust Positively Invariant (µ-RPI) set, is introduced to deal with resilience. A set-based method is then developed for the control scheme to ensure both resilience to DoS attacks while preserving robustness to bounded disturbances. A computational algorithm is derived and a numerical example is provided to illustrate the potential of the proposed approach.Read less <
English Keywords
Cyber-Physical Systems (CPS)
Denial of Service (DoS) attack
Resilience
Robustness
Model Predictive Control (MPC)
Set-membership
Zonotopes
ANR Project
Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003