多信道攻击下Markov跳变系统的异步动态事件触发与量化控制OA北大核心CSTPCD
Asynchronous dynamic event-triggered control of Markov jump systems with multichannel attacks and quantized measurement
针对具有多信道随机欺骗攻击的Markov跳变系统,首次提出一种新颖的基于动态事件触发机制(DETM)和量化的异步输出反馈控制器.为了减少网络中的通信负担,采用DETM和量化相结合的控制方法.为了提高信道的非脆弱性,设计基于隐马尔可夫模型(HMM)的多信道传输策略.同时,考虑由伯努利变量描述的随机多信道欺骗攻击.为了刻画系统与控制器之间模态不匹配现象,设计基于HMM的异步控制律.通过构造模态依赖的Lyapunov函数,建立闭环系统随机稳定和严格耗散充分条件.最后,通过应用质量-弹簧-阻尼器机械系统实例验证所提出设计方法的有效性和实用性.
In this article,a novel asynchronous output feedback controller based on the dynamic event-triggered mecha-nism and quantization is proposed for Markov jump systems with random deception attacks in the multi-channel transmis-sion firstly.In order to reduce the communication burden in the shared network,the dynamic event-triggered mechanism and quantized strategy are attained.To improve the non-fragile of the transmission channel,the multi-channel data trans-mission strategy based on the hidden Markov model(HMM)method is adopted.In the meanwhile,stochastically occurring multi-channel deception attacks described by Bernoulli variables are considered.The asynchronous control law is de-signed using HMM,which characterizes the mismatch between the system mode and the controller mode.By constructing the mode-dependent Lyapunov function,sufficient conditions to ensure the stochastic stability and strict dissipative of the closed-loop system are established.Finally,an example of the mass-spring-damper mechanical system is presented to verify the effectiveness and practicability of the proposed method.
胡梦洁;王燕舞;杨春雨;代伟;施欣晨
中国矿业大学信息与控制工程学院,江苏徐州 221000华中科技大学人工智能与自动化学院,湖北武汉 430000中国矿业大学信息与控制工程学院,江苏徐州 221000中国矿业大学信息与控制工程学院,江苏徐州 221000中国矿业大学信息与控制工程学院,江苏徐州 221000
事件触发Markov跳变系统量化欺骗攻击输出反馈
even-triggered mechanismMarkov jump systemquantizationdeception attackoutput-feedback control
《控制理论与应用》 2024 (12)
2286-2294,9
国家自然科学基金项目(62203449,62173152,62073327,62373361),江苏省自然科学基金项目(BK20221110)资助.Supported by the National Natural Science Foundation of China(62203449,62173152,62073327,62373361)and the National Natural Science Foundation of Jiangsu Province(BK20221110).
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