Attack-resilient Estimation for Linear Discrete-time Stochastic Systems with Input and State Constraints

2019/03/19 by Wenbin Wan, Hunmin Kim, Wan, Wenbin +5
Engineering · #Fault Detection and Control Systems #Smart Grid Security and Resilience #Advanced Data Processing Techniques

paper · pdf · doi:10.48550/arxiv.1903.08282

Abstract

In this paper, an attack-resilient estimation algorithm is presented for linear discrete-time stochastic systems with state and input constraints. It is shown that the state estimation errors of the proposed estimation algorithm are practically exponentially stable.

Citations

• Probability, Random Variables, and Stochastic Processes

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