학술논문

Safety-Preserving Filters Against Stealthy Sensor and Actuator Attacks
Document Type
Conference
Source
2023 62nd IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2023 62nd IEEE Conference on. :5097-5104 Dec, 2023
Subject
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Linear systems
Actuators
Filtering
Frequency-domain analysis
Distortion
Convex functions
MIMO
Language
ISSN
2576-2370
Abstract
This article proposes a novel strategy based on control input filtering for mitigating the effects of deception attacks on control and sensor measurement signals. We assume an adversary who can tamper data transmitted from a communication network in order to degrade the plant performance. The proposed strategy consists on adding multiple-input multiple-output (MIMO) filters to the control loop, between the received control actions and the plant actuators. The filter's goal is to dynamically steer the reachable set induced by the attack signals to a safe region of the state space. The article provides a filter synthesis method under the form of a semidefinite programming problem, yielding such filters in a way that attack-free control signals are distorted as little as possible, and plant trajectories are contained in the safe set. At the end of the paper, a set of simulations demonstrate the effectiveness of the approach.