Weight Estimation and Secure Control for Discrete Stochastic Distribution Control Systems Under Sparse Sensor Attacks.

In this paper, we investigate the problem of weight estimation and secure control for discrete stochastic distribution control (SDC) systems under sparse sensor attacks. Firstly, a Luenberger observer is designed for the linear SDC systems to perform the weight estimation under sparse sensor attacks. Then, a generalized proportional-integral (PI) tracking control strategy is proposed for the linear B-spline model. Furthermore, the tracking problem for output probability density functions (PDFs) is implemented, and the designed controller ensures that the closed-loop system is stable. Finally, the simulation results show the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]