欺骗攻击下Markov跳变系统的不匹配量化自适应安全控制

Mismatched Quantized Adaptive Security Control for Markov Jump Systems Subject to Deception Attacks

本文研究了欺骗攻击下Markov跳变系统的不匹配量化自适应安全控制策略.在控制器端设置了一个多通道结构的量化器,且每个通道具有随时间变化的不匹配度,设计了一个自适应更新率来估计网络攻击的未知界限.接着,设计了一个由三部分组成的自适应安全控制器,基于Lyapunov理论和顶点分离技术,闭环系统随机有界稳定并满足所需的H∞性能指标.最后,通过仿真实验验证了所提策略的有效性.

This paper concerned with the mismatched quantized adaptive security control scheme of Markov jump systems under deception attacks.A quantizer with multi-channel structure is set up at the controller side and each channel has a time-varying mismatch degree.An adaptive update law is designed to estimate the unknown bounds of the cyber-attack.Subsequently,the adaptive security controller consists of three parts is designed.Based on Lyapunov theory and vertex separation technique,the closed-loop system is stochastically boundedness and satisfies the desired H∞performance.The effectiveness of the proposed scheme is verified by a simulation.