Imagen de Portada

Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tsukamoto, Hiroyasu, Hajar, Joudi, Chung, Soon-Jo, Hadaegh, Fred Y.
Formato:	Preprint
Publicado:	2024
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Optimal Network Topology Switching for Zero Dynamics Attacks
por: Tsukamoto, Hiroyasu, et al.
Publicado: (2024)

Closing the Loop Inside Neural Networks: Causality-Guided Layer Adaptation for Fault Recovery Control
por: Taheri, Mahdi, et al.
Publicado: (2025)

A Counterfactual Reasoning Framework for Fault Diagnosis in Robot Perception Systems
por: Han, Haeyoon, et al.
Publicado: (2025)

Infinite-Horizon Distributionally Robust Regret-Optimal Control
por: Kargin, Taylan, et al.
Publicado: (2024)

Array-Based Monte Carlo Tree Search
por: Ragan, James, et al.
Publicado: (2025)

Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon
por: Kargin, Taylan, et al.
Publicado: (2023)

Geometric Fault Identification via Mirror Descent Learning
por: Taheri, Mahdi, et al.
Publicado: (2026)

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
por: Tsukamoto, Hiroyasu, et al.
Publicado: (2021)

Perron-Frobenius Contractive Operator Matching for Data-Driven Reachable Fault Identification and Recovery
por: Ibrahim, Joshua D., et al.
Publicado: (2026)

Data-Driven Probabilistic Fault Detection and Identification via Density Flow Matching
por: Ibrahim, Joshua D., et al.
Publicado: (2026)

ContractionPPO: Certified Reinforcement Learning via Differentiable Contraction Layers
por: Zinage, Vrushabh, et al.
Publicado: (2026)

Beyond Quadratic Costs: A Bregman Divergence Approach to H$_\infty$ Control
por: Hajar, Joudi, et al.
Publicado: (2025)

Optimal Infinite-Horizon Mixed $\mathit{H}_2/\mathit{H}_\infty$ Control
por: Malik, Vikrant, et al.
Publicado: (2024)

Beyond Quadratic Costs in LQR: Bregman Divergence Control
por: Hassibi, Babak, et al.
Publicado: (2025)

Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration
por: Bhardwaj, Arna, et al.
Publicado: (2024)

The Distributionally Robust Infinite-Horizon LQR
por: Hajar, Joudi, et al.
Publicado: (2024)

Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
por: Tsukamoto, Hiroyasu, et al.
Publicado: (2022)

Distributionally Robust Kalman Filtering over Finite and Infinite Horizon
por: Kargin, Taylan, et al.
Publicado: (2024)

Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation
por: Hirano, Koki, et al.
Publicado: (2026)

Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety
por: Hsu, Ting-Wei, et al.
Publicado: (2025)

Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems
por: D'Silva, Rihan Aaron, et al.
Publicado: (2026)

Robust Optimal Power Flow Against Adversarial Attacks: A Tri-Level Optimization Approach
por: Khamaneh, Saman Mazaheri, et al.
Publicado: (2024)

Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
por: Wei, Sihang, et al.
Publicado: (2025)

Regret Optimal Control for Uncertain Stochastic Systems
por: Martin, Andrea, et al.
Publicado: (2023)

Stealthy Optimal Range-Sensor Placement for Target Localization
por: Nooshabadi, Mohammad Hussein Yoosefian, et al.
Publicado: (2024)

Stealthy Sensor Attacks Against Direct Data-Driven Controllers
por: Anand, Sribalaji C.
Publicado: (2025)

Robust Regret Optimal Control
por: Liu, Jietian, et al.
Publicado: (2023)

Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
por: Chen, Yexiang, et al.
Publicado: (2025)

COFFEE: A Shadow-Resilient Real-Time Pose Estimator for Unknown Tumbling Asteroids using Sparse Neural Networks
por: Zimmermann, Arion, et al.
Publicado: (2025)

Scalable and Optimal Security Allocation in Networks against Stealthy Injection Attacks
por: Nguyen, Anh Tung, et al.
Publicado: (2024)

Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control
por: Martinelli, Daniele, et al.
Publicado: (2023)

Distributional Robustness in Output Feedback Regret-Optimal Control
por: Yan, Shuhao, et al.
Publicado: (2025)

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search
por: Lathrop, John, et al.
Publicado: (2024)

An Innovation-Based Approach to Detect Stealthy Disturbance Attacks in Maritime Monitoring
por: Oliva, Gabriele, et al.
Publicado: (2026)

Security Allocation in Networked Control Systems under Stealthy Attacks
por: Nguyen, Anh Tung, et al.
Publicado: (2023)

Distributionally Robust Regret Optimal LQR with Common Stage-Law Ambiguity
por: Fiechtner, Lukas-Benedikt, et al.
Publicado: (2026)

Stealthy Cyber-Attacks on Vehicle Lateral Dynamics: A System-Theoretic Analysis
por: Eslami, Ali, et al.
Publicado: (2026)

Interstellar Object Accessibility and Mission Design
por: Donitz, Benjamin P. S., et al.
Publicado: (2022)

Stealthy Deactivation of Safety Filters
por: Arnström, Daniel, et al.
Publicado: (2024)

Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
por: Tönges, Eric, et al.
Publicado: (2025)