Online optimization of LTI systems under persistent attacks: Stability, tracking, and robustness

被引：0

作者：

Galarza-Jimenez, Felipe ^{[1
]}

Bianchin, Gianluca ^{[1
]}

Poveda, Jorge I. ^{[1
]}

Dall'Anese, Emiliano ^{[1
]}

机构：

[1] Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder,CO, United States

来源：

Nonlinear Analysis: Hybrid Systems | 2022年 / 44卷

关键词：

Closed loop systems - Controllers - Convex optimization - Cybersecurity - Dynamical systems - Electric power system control - Electric power transmission networks - Linear control systems - Online systems - Perturbation techniques - System stability;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

We study the stability properties of a closed-loop system composed of a dynamical plant and a feedback controller, the latter generating control signals that can be compromised by a malicious attacker. We consider two classes of feedback controllers: a static output-feedback controller, and a dynamical gradient-flow controller that seeks to steer the output of the plant towards the solution of a convex optimization problem. In both cases, we analyze the stability properties of the closed-loop system under a class of switching attacks that persistently modify the control inputs generated by the controllers. Our stability analysis leverages the framework of hybrid dynamical systems, Lyapunov-based arguments for switching systems with unstable modes, and singular perturbation theory. Our results reveal that, under a suitable time-scale separation between plant and controllers, the stability of the interconnected system can be preserved when the attack occurs with sufficiently low frequency in any bounded time interval. We present simulation results in a power-grid example that corroborate the technical findings. © 2022 Elsevier Ltd

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