Event-Triggered Cognitive Control for Networked Control Systems Subject to DoS Attacks and Time Delay

被引:4
作者
Wang, Shuti [1 ]
Yin, Xunhe [1 ]
Zhang, Yanxin [1 ]
Li, Peng [1 ]
Wen, Huabin [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Cognitive control; Event-triggered; Networked control systems; DoS attacks; Time delay; Reinforcement learning; Sliding mode control; CYBER-PHYSICAL SYSTEMS; PREDICTIVE CONTROL; RESILIENT CONTROL; FEEDBACK CONTROL; DESIGN;
D O I
10.1007/s13369-022-07068-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper focuses on the co-design of event-triggered and cognitive control for networked control systems in the presence of denial-of-service (DoS) attacks and time delay. The designed cognitive control is established and improved by using the reinforcement learning and sliding mode control. The cognitive control has two controllers, namely the cognitive controller and sliding mode controller. The cognitive controller is constructed on the basis of reinforcement learning. The event trigger is adopted in the feedback communication channel, and it can determine whether the system state should transmit over communication networks, as well as can save communication resources. Furthermore, the characteristics of DoS attacks and event-triggered are described by Bernoulli distribution. It is shown that the cognitive controller and sliding mode controller utilize the updated state stored in the memory in case of DoS attacks or failed event trigger. This helps to improve the performance of system. Finally, simulation results illustrate that the co-designed event-triggered cognitive control can not only effectively decrease the influences of both DoS attacks and time delay, but also save the resources of communication networks.
引用
收藏
页码:6991 / 7004
页数:14
相关论文
共 48 条
[11]   Event-triggered finite-time adaptive neural control for nonlinear non-strict-feedback time-delay systems with disturbances [J].
Gao, Chuang ;
Liu, Xin ;
Yang, Yonghui ;
Liu, Xiaoping ;
Li, Ping .
INFORMATION SCIENCES, 2020, 536 :1-24
[12]   Event-triggered output feedback control for discrete Markov jump systems under deception attack [J].
Gao, Jinfeng ;
Zhao, Zhen ;
Wang, Jinxia ;
Tan, Tian ;
Ma, Miao .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (11) :6435-6452
[13]   Finite-time H∞ static and dynamic output feedback control for a class of switched nonlinear time-delay systems [J].
Gholami, Hadi ;
Shafiei, Mohammad Hossein .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 389
[14]   Stability of networked control system subject to denial-of-service [J].
Guo, Li ;
Cui, Tingting ;
Yu, Hao ;
Hao, Fei .
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (02)
[15]   Sliding mode fault-tolerant control for unmanned marine vehicles with signal quantization and time-delay [J].
Hao, Li-Ying ;
Zhang, He ;
Li, Hui ;
Li, Tie-Shan .
OCEAN ENGINEERING, 2020, 215
[16]   Cognitive control [J].
Haykin, Simon ;
Fatemi, Mehdi ;
Setoodeh, Peyman ;
Xue, Yanbo .
Proceedings of the IEEE, 2012, 100 (12) :3156-3169
[17]   Event Triggered Feedback Linearization Sliding Mode Control for Trajectory Tracking by Multi-joint Robotic Manipulator [J].
Jie, Zhang ;
Zhang Aihua ;
Qian, Qian .
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT CONTROL AND ARTIFICIAL INTELLIGENCE (RICAI 2019), 2019, :33-40
[18]   Sensorless Reaction Force Estimation of the End Effector of a Dual-arm Robot Manipulator Using Sliding Mode Control with a Sliding Perturbation Observer [J].
Kallu, Karam Dad ;
Jie, Wang ;
Lee, Min Cheol .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2018, 16 (03) :1367-1378
[19]   Finite-Time Fault-Tolerant Control for a Robot Manipulator Based on Synchronous Terminal Sliding Mode Control [J].
Le, Quang Dan ;
Kang, Hee-Jun .
APPLIED SCIENCES-BASEL, 2020, 10 (09)
[20]   Event-triggering-based leader-following bounded consensus of multi-agent systems under DoS attacks [J].
Liu, Hao .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2020, 89