Adaptive control for cyber-physical systems under man-in-the-middle attacks with false data injections
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Publication:6202512
DOI10.1016/j.jfranklin.2024.106661OpenAlexW4391470427WikidataQ128814064 ScholiaQ128814064MaRDI QIDQ6202512
Uday Pratap Singh, Kevin Guelton, Arun Bali, Rajeeb Dey, Rahul Kumar
Publication date: 26 March 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2024.106661
Approximation methods and heuristics in mathematical programming (90C59) Control/observation systems involving computers (process control, etc.) (93C83) Adaptive control/observation systems (93C40) Networked control (93B70)
Cites Work
- Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone
- Adaptive control of cyber-physical systems under deception and injection attacks
- Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks
- Event-triggered resilient control for cyber-physical systems under asynchronous DoS attacks
- Distributed secure state estimation for cyber-physical systems under sensor attacks
- Adaptive finite-time neural control of non-strict feedback systems subject to output constraint, unknown control direction, and input nonlinearities
- Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks
- An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems
- Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks
- A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises
- Secure control of cyber physical systems subject to stochastic distributed DoS and deception attacks
- Opacity Enforcement for Confidential Robust Control in Linear Cyber-Physical Systems
- Observer-Based Control for Cyber-Physical Systems With Periodic DoS Attacks via a Cyclic Switching Strategy
- An output‐feedback adaptive control architecture for mitigating actuator attacks in cyber‐physical systems
- <tex>$H_infty$</tex>Control for Networked Systems With Random Communication Delays
- Hybrid neural network controller for uncertain nonlinear discrete-time systems with non-symmetric dead zone and unknown disturbances
- Separation of learning and control for cyber-physical systems
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