TY - JOUR
T1 - Adaptive Event-Triggered Asynchronous Control for Interval Type-2 Fuzzy Markov Jump Systems With Cyberattacks
AU - Ran, Guangtao
AU - Li, Chuanjiang
AU - Sakthivel, Rathinasamy
AU - Han, Chunsong
AU - Wang, Bohui
AU - Liu, Jian
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - In this article, the problem of adaptive event-triggered dissipative control is investigated for interval type-2 (IT2) fuzzy nonlinear Markov jump systems subject to asynchronous switching and cyberattacks. To reduce unnecessary transmission, an adaptive event-triggered mechanism (AETM) is introduced to fully employ the limited network resources and alleviate the pressure of network communication. The considered cyberattacks are described by a stochastic function with stochastic distribution. Then, a novel IT2 fuzzy closed-loop system is efficiently built under the AETM and the cyberattacks model, in which the asynchronous phenomenon of the plant and controller are described by the hidden Markov model. By utilizing the Lyapunov stability approach, sufficient conditions are established for the IT2 fuzzy closed-loop systems with strictly dissipative performance. Two examples are given to verify the effectiveness of the proposed algorithm.
AB - In this article, the problem of adaptive event-triggered dissipative control is investigated for interval type-2 (IT2) fuzzy nonlinear Markov jump systems subject to asynchronous switching and cyberattacks. To reduce unnecessary transmission, an adaptive event-triggered mechanism (AETM) is introduced to fully employ the limited network resources and alleviate the pressure of network communication. The considered cyberattacks are described by a stochastic function with stochastic distribution. Then, a novel IT2 fuzzy closed-loop system is efficiently built under the AETM and the cyberattacks model, in which the asynchronous phenomenon of the plant and controller are described by the hidden Markov model. By utilizing the Lyapunov stability approach, sufficient conditions are established for the IT2 fuzzy closed-loop systems with strictly dissipative performance. Two examples are given to verify the effectiveness of the proposed algorithm.
KW - Adaptive event-triggered mechanism (AETM)
KW - Markov jump systems (MJSs)
KW - dissipative asynchronous control
KW - hidden Markov model (HMM)
KW - interval type-2 (IT2) fuzzy systems
UR - https://www.scopus.com/pages/publications/85122878334
U2 - 10.1109/TCNS.2022.3141025
DO - 10.1109/TCNS.2022.3141025
M3 - 文章
AN - SCOPUS:85122878334
SN - 2325-5870
VL - 9
SP - 88
EP - 99
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
IS - 1
ER -