Work

LQG Reference Tracking With Safety and Reachability Guarantees Under Unknown False Data Injection Attacks

Year: 2022

Type: article

Abstract: We investigate a linear quadratic Gaussian (LQG) tracking problem with safety and reachability constraints in the presence of an adversary who mounts a false data injection attack on an unknown set of sensors. For each possible set of compromised sensors, we maintain a state estimator disregarding the sensors in that set, and calculate the optimal LQG control input at each time based on this estimate. We propose a control policy which constrains the control input to lie within a fixed distance of the optimal control input corresponding to each state estimate. The control input is obtained at each time step by solving a quadratically constrained quadratic program. We prove that our policy can achieve a desired probability of safety and reachability using the barrier certificate method. Our control policy is evaluated via a numerical case study.

Source: IEEE Transactions on Automatic Control

DOI: 10.1109/tac.2022.3153456

Authors: Zhouchi Li, Luyao Niu, Andrew Clark

Institution: Worcester Polytechnic Institute

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Office of Naval Research

Award: G1637523201