Membership-Functions-Dependent Resilient Hybrid-Triggered Passivity Control for Networked Fuzzy Systems Against Deception Attacks
针对网络化模糊系统遭受欺骗攻击的问题，提出一种依赖隶属函数的弹性混合触发无源控制方法，通过将隶属函数嵌入触发机制和Lyapunov泛函，降低网络带宽压力并提升无源性能，并用卡车拖车例子验证了有效性。
In this work, membership-functions-dependent resilient hybrid-triggered (HT) passivity control is considered for networked fuzzy systems against deception attacks. To mitigate the transmission burden and enhance resilience to attacks, a resilient membership-functions-dependent HT mechanism is proposed that considers the properties of a Takagi-Sugeno fuzzy model. The presented HT strategy incorporates membership functions to generalize the HT threshold and weighting matrices. Then, the membership functions are embedded in quadratic and integral terms of the fuzzy Lyapunov-Krasovskii functional, leading to a more effective resilient HT mechanism that significantly reduces network bandwidth stresses and achieves better passivity performance. An asynchronous passivity fuzzy controller with enhanced feasibility is designed under imperfect premise matching, and traditional passive controllers are generalized as special cases. Finally, a truck-trailer example is offered to test the validity and applicability of the proposed techniques.