衰退
计算机科学
控制理论(社会学)
非线性系统
趋同(经济学)
服务拒绝攻击
频道(广播)
电信
人工智能
控制(管理)
物理
经济增长
量子力学
互联网
万维网
经济
作者
Wei Yu,Rui Wang,Xuhui Bu,Zhongsheng Hou,Zhonghua Wu
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:52 (7): 4117-4128
被引量:28
标识
DOI:10.1109/tsmc.2021.3091422
摘要
This article studies the resilient control problem for a class of unknown nonlinear systems with fading measurements under malicious denial-of-service (DoS) attacks. The system output is assumed to be transmitted through a fading channel, where the fading phenomenon is described by a Rice fading model. The strategy of the attacker is to periodically interfere with the networked channels to reduce the success rate of data transmissions. First, a dynamic linearization method along the iteration domain is introduced to convert the nonlinear system into an equivalent data-related model. Then, a model-free adaptive iterative learning control (MFAILC) scheme is presented, which is independent of model information. The convergence of the MFAILC scheme is deduced theoretically and the influence of DoS attacks and stochastic fading phenomenon on system stability are also analyzed. Finally, the effectiveness of the design is verified by a numerical simulation and a trajectory tracking example of wheeled mobile robots (WMRs).
科研通智能强力驱动
Strongly Powered by AbleSci AI