Cover Image

Deception Against Data-Driven Linear-Quadratic Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fotiadis, Filippos, Kanellopoulos, Aris, Vamvoudakis, Kyriakos G., Topcu, Ufuk
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Input-Output Data-Driven Sensor Selection for Cyber-Physical Systems
by: Fotiadis, Filippos, et al.
Published: (2025)

A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem
by: Fotiadis, Filippos, et al.
Published: (2025)

Adversarial Observability and Performance Trade-offs in Optimal Control
by: Fotiadis, Filippos, et al.
Published: (2025)

Coordinated UAV Beamforming and Control for Directional Jamming and Nulling
by: Fotiadis, Filippos, et al.
Published: (2025)

Adversarial Pursuits in Cislunar Space
by: Fotiadis, Filippos, et al.
Published: (2025)

Linear-Quadratic Gaussian Games with Distributed Sparse Estimation
by: Qiu, Tianyu, et al.
Published: (2026)

Secure Coordination for Vertiport Sequencing in Advanced Air Mobility
by: Im, Jaehan, et al.
Published: (2026)

Optimal Satellite Maneuvers for Spaceborne Jamming Attacks
by: Fotiadis, Filippos, et al.
Published: (2025)

Quantum Deception: Honey-X Deception using Quantum Games
by: Reppas, Efstratios, et al.
Published: (2025)

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
by: Zongo, Alex, et al.
Published: (2026)

Cost-Matching Model Predictive Control for Efficient Reinforcement Learning in Humanoid Locomotion
by: Cai, Wenqi, et al.
Published: (2026)

Resilient Learning-Based Control Under Denial-of-Service Attacks
by: Chakraborty, Sayan, et al.
Published: (2024)

Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies
by: Liu, Xinjie, et al.
Published: (2024)

Interleaved Information Structures in Dynamic Games: A General Framework with Application to the Linear-Quadratic Case
by: K, Janani S, et al.
Published: (2026)

Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
by: Ramadan, Mohammad S., et al.
Published: (2023)

Tailoring Reproducing Kernels for Optimal Control via Policy Iteration
by: Niu, Shengyuan, et al.
Published: (2025)

An Efficient Data-Driven Framework for Linear Quadratic Output Feedback Control
by: Xie, Jun, et al.
Published: (2025)

Compositional shield synthesis for safe reinforcement learning in partial observability
by: Carr, Steven, et al.
Published: (2025)

Noncooperative Consensus via a Trading-based Auction
by: Im, Jaehan, et al.
Published: (2025)

Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria
by: Im, Jaehan, et al.
Published: (2026)

Over-Approximating Minimizer Sets of Constrained Convex Programs with Parametric Uncertainty via Reachability Analysis
by: Gould, Brendan, et al.
Published: (2026)

Convergence Rates of Online Critic Value Function Approximation in Native Spaces
by: Niu, Shengyuan, et al.
Published: (2024)

Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
by: Kang, Shubo, et al.
Published: (2026)

A Decentralized Shotgun Approach for Team Deception
by: Probine, Caleb, et al.
Published: (2024)

Deception in Linear-Quadratic Control
by: Kim, Yerin, et al.
Published: (2026)

Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
by: Miller, Kevin S., et al.
Published: (2024)

Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
by: Esmzad, Ramin, et al.
Published: (2024)

Optimality of Linear Policies in Distributionally Robust Linear Quadratic Control
by: Taşkesen, Bahar, et al.
Published: (2025)

Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)

Game-theoretic Decentralized Coordination for Airspace Sector Overload Mitigation
by: Im, Jaehan, et al.
Published: (2025)

Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I
by: Tian, Yi, et al.
Published: (2022)

Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
by: Tian, Yi, et al.
Published: (2026)

Relationship Design for Socially-Aware Behavior in Static Games
by: Chen, Shenghui, et al.
Published: (2022)

Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise
by: Miller, Jared, et al.
Published: (2024)

Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking
by: Kang, Shubo, et al.
Published: (2024)

Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control
by: Bajaj, Shivam, et al.
Published: (2025)

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions
by: Li, Tongxin, et al.
Published: (2021)

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
by: Gießler, Armin, et al.
Published: (2026)

On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control
by: Cescon, Riccardo, et al.
Published: (2025)

Optimal Functional Incentives for Control: The Linear-Quadratic Case with Bilinear Incentives
by: Matt, Jonas G., et al.
Published: (2026)