TY - GEN
T1 - Optimal Jamming Strategy Against Periodically Switched Linear Discrete-Time System
AU - Zhu, Yu
AU - Zhang, Heng
AU - Liu, Ruijun
AU - Zhang, Jian
AU - Li, Hongran
N1 - Publisher Copyright:
© 2022 ACA.
PY - 2022
Y1 - 2022
N2 - In recent years, state estimation of the switched linear discrete-time system has attracted wide attention, especially in the presence of external disturbances. We consider the secure state estimation of a periodically switched linear discrete-time system. We first analyze the stability of the periodically switched linear discrete-time system. Then, we consider the existence of a jamming attacker against remote state estimation. From the perspective of the attacker, we aim to find the optimal attack strategy to maximize the average estimation error. We transform the optimal attack strategy problem into Markov Decision Process (MDP) problem and propose an algorithm to reduce the computational complexity. Finally, numerical examples are provided to illustrate the obtained results.
AB - In recent years, state estimation of the switched linear discrete-time system has attracted wide attention, especially in the presence of external disturbances. We consider the secure state estimation of a periodically switched linear discrete-time system. We first analyze the stability of the periodically switched linear discrete-time system. Then, we consider the existence of a jamming attacker against remote state estimation. From the perspective of the attacker, we aim to find the optimal attack strategy to maximize the average estimation error. We transform the optimal attack strategy problem into Markov Decision Process (MDP) problem and propose an algorithm to reduce the computational complexity. Finally, numerical examples are provided to illustrate the obtained results.
KW - linear time-varying
KW - optimal jamming strategy
KW - periodically switched system
UR - https://www.scopus.com/pages/publications/85135615931
U2 - 10.23919/ASCC56756.2022.9828373
DO - 10.23919/ASCC56756.2022.9828373
M3 - 会议稿件
AN - SCOPUS:85135615931
T3 - ASCC 2022 - 2022 13th Asian Control Conference, Proceedings
SP - 2001
EP - 2006
BT - ASCC 2022 - 2022 13th Asian Control Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th Asian Control Conference, ASCC 2022
Y2 - 4 May 2022 through 7 May 2022
ER -