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Journal ArticleDOI

An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems

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TLDR
An adaptive controller is developed that guarantees uniform ultimate boundedness of the closed-loop dynamical system in the face of adversarial sensor and actuator attacks that are time-varying and partial asymptotic stability when the sensors and actuators attacks areTime-invariant.
Abstract
Recent technological advances in communications and computation have spurred a broad interest in control law architectures involving the monitoring, coordination, integration, and operation of sensing, computing, and communication components that tightly interact with the physical processes that they control. These systems are known as cyber-physical systems and due to their use of open computation and communication platform architectures, controlled cyber-physical systems are vulnerable to adversarial attacks. In this technical note, we propose a novel adaptive control architecture for addressing security and safety in cyber-physical systems. Specifically, we develop an adaptive controller that guarantees uniform ultimate boundedness of the closed-loop dynamical system in the face of adversarial sensor and actuator attacks that are time-varying and partial asymptotic stability when the sensor and actuator attacks are time-invariant. Finally, we provide a numerical example to illustrate the efficacy of the proposed adaptive control architecture.

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Citations
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Journal ArticleDOI

Input-to-State Stabilizing Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial of Service

TL;DR: This paper is concerned with the input-to-state stabilizing control problem for cyber-physical systems (CPSs) with multiple transmission channels under denial-of-service (DoS) attacks, and the proposed LMI-based method is more flexible.
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Finite-Time Event-Triggered Control for Semi-Markovian Switching Cyber-Physical Systems With FDI Attacks and Applications

TL;DR: This paper addresses the finite-time event-triggered control problem for nonlinear semi-Markovian switching cyber-physical systems (S-MSCPSs) under false data injection (FDI) attacks by using a mode-dependent piecewise Lyapunov-Krasovskii functional and some solvability conditions are established in light of a linear matrix inequality framework.
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Summation Detector for False Data-Injection Attack in Cyber-Physical Systems

TL;DR: This paper considers the detection problems of false data-injection attacks in cyber-physical systems (CPSs) with white noise, and proposes a novel detector, that is, the summation (SUM) detector, which not only utilizes the current compromise information but also collects all historical information to reveal the threat.
Journal ArticleDOI

Modeling and control of Cyber-Physical Systems subject to cyber attacks: A survey of recent advances and challenges

TL;DR: This paper surveys the literature on security aspects of CPSs, and presents some of existing methods for detecting cyber attacks, which are: Denial of service (DoS), deception, and replay attacks.
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Finite-Time Sliding-Mode Control of Markovian Jump Cyber-Physical Systems Against Randomly Occurring Injection Attacks

TL;DR: A key feature is that a set of mode-dependent sufficiently small scalars are introduced into some coupled Lyapunov inequalities such that the feasible solutions are easily obtained for the stochastic finite-time boundedness of the closed-loop systems.
References
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Book

Diagnosis and Fault-Tolerant Control

TL;DR: In this paper, model-based analysis and design methods for fault diagnosis and fault-tolerant control are presented, where the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance.
Journal ArticleDOI

Attack Detection and Identification in Cyber-Physical Systems

TL;DR: In this article, a mathematical framework for cyber-physical systems, attacks, and monitors is proposed, and fundamental monitoring limitations from both system-theoretic and graph-based perspectives are characterized.
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Foundations of Control and Estimation Over Lossy Networks

TL;DR: In this paper, the authors consider control and estimation problems where the sensor signals and the actuator signals are transmitted to various subsystems over a network and characterize the impact of the network reliability on the performance of the feedback loop.
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A Survey of Fault Detection, Isolation, and Reconfiguration Methods

TL;DR: A survey of the various model-based FDIR methods developed in the last decade is presented, and various techniques of implementing reconfigurable control strategy in response to faults are discussed.
Journal ArticleDOI

Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks

TL;DR: A new simple characterization of the maximum number of attacks that can be detected and corrected as a function of the pair (A,C) of the system is given and it is shown that it is impossible to accurately reconstruct the state of a system if more than half the sensors are attacked.
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