TY - JOUR
T1 - Reference Tracking MPC for Cyber-Physical Systems under Denial-of-Service Attacks
T2 - An Omnidirectional Robot Application
AU - Zhang, Daotong
AU - Shi, Peng
AU - Agarwal, Ramesh K.
AU - Kovacs, Levente
N1 - Publisher Copyright:
© 2007-2012 IEEE.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - This article presents a novel model predictive control (MPC) framework with an integrated disturbance observer for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. Uniquely incorporating a memory module, our MPC approach is tailored to maintain stability and security in CPS during DoS attacks, which typically disrupt communication and degrade performance. Our method stands out by addressing time-varying system uncertainties through the disturbance observer, enhancing robustness under these attack conditions. The effectiveness of our approach is validated through numerical simulations, hardware-in-the-loop experiments, and comparative analyses using an omnidirectional robot, highlighting its practical applicability and advancement over existing methods.
AB - This article presents a novel model predictive control (MPC) framework with an integrated disturbance observer for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. Uniquely incorporating a memory module, our MPC approach is tailored to maintain stability and security in CPS during DoS attacks, which typically disrupt communication and degrade performance. Our method stands out by addressing time-varying system uncertainties through the disturbance observer, enhancing robustness under these attack conditions. The effectiveness of our approach is validated through numerical simulations, hardware-in-the-loop experiments, and comparative analyses using an omnidirectional robot, highlighting its practical applicability and advancement over existing methods.
KW - Cyber-physical systems (CPSs)
KW - denial-of-service (DoS) attacks
KW - disturbance observer
KW - model predictive control (MPC)
UR - http://www.scopus.com/inward/record.url?scp=85190720052&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2024.3384372
DO - 10.1109/JSYST.2024.3384372
M3 - Article
AN - SCOPUS:85190720052
SN - 1932-8184
VL - 18
SP - 1248
EP - 1256
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 2
ER -