Security of Networked Systems with Random Sampling Intervals and Deception Attacks Via Non-Fragile Sampled-Data Control

This study is concerned with the security of networked systems with random sampling intervals and deception attacks using non-fragile sampled-data control. We first establish a discrete-time stochastic model framework for the networked system with random sampling intervals and deception attacks. Subsequently, by the vectorization and Kronecker product operation, a non-fragile controller is designed such that the exponential mean-square stability of resulting discrete-time stochastic system is guaranteed. Finally, a numerical example is presented to show the effectiveness of the designed algorithm.