区间二型模糊网络系统的自适应记忆事件触发加密控制

Adaptive Memory-event-triggered Encryption Control for Networked Interval Type-2 Fuzzy Systems

  • 摘要: 针对区间二型(interval type-2,IT2) Takagi-Sugeno (T-S)模糊网络控制系统提出一种自适应记忆事件触发的加密控制方案。首先,利用缓存器获取传输数据的平均值并根据触发数据与采样数据的相对误差构建自适应阈值,分别在传感器-控制器通道和控制器-执行器通道设计自适应记忆事件触发方案(adaptive memory-event-triggered scheme,AMETS)。然后,基于AMETS提出了一种改进的Paillier加密方案,该加密方案不仅能够对非整数明文进行加密解密还能保证解密的准确性。接着,设计了一种模糊动态输出反馈控制器,并构建了IT2模糊闭环系统。此外,利用线性矩阵不等式方法得到了控制器增益和事件触发参数,以实现该系统的均方渐近稳定。最后,通过仿真实例验证了所提方法的优越性。该方案不仅能够保证系统的均方渐近稳定性,还能够节省网络资源,并减少有用信息的丢失,同时还能保证数据在传输过程中的安全性。

     

    Abstract: An adaptive memory-event-triggered encryption control scheme is proposed for networked interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy control systems. First, the buffer is utilized to obtain the average value of the transmitted data. An adaptive threshold is established based on the relative error between the triggered data and the sampled data. The adaptive memory-event-triggered scheme (AMETS) is designed in the sensor-controller channel and the controller-actuator channel. Based on the AMETS, an improved Paillier encryption scheme is proposed, capable of encrypting and decrypting non-integer plaintexts while ensuring decryption accuracy. Then, a fuzzy dynamic output feedback controller is designed and an IT2 fuzzy closed-loop system is constructed. Furthermore, the controller gains and event triggering parameters are obtained by linear matrix inequality method to achieve the mean-square asymptotic stability of the system. Finally, the superiority of the proposed scheme is verified by simulation example. The scheme not only saves network resources and ensures the mean-square asymptotic stability of the system, but also reduces the loss of useful information and ensures the security of the data during transmission.

     

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