Image de couverture de livre

Losing Control of your Network? Try Resilience Theory

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bouvier, Jean-Baptiste, Nandanoori, Sai Pushpak, Ornik, Melkior
Format:	Preprint
Publié:	2023
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Energetic Resilience under Temporal Logic Specifications
par: Das, Ratnangshu, et autres
Publié: (2026)

Energetic Resilience of Linear Driftless Systems
par: Padmanabhan, Ram, et autres
Publié: (2024)

Ignore Drift, Embrace Simplicity: Constrained Nonlinear Control through Driftless Approximation
par: Padmanabhan, Ram, et autres
Publié: (2025)

Empowering the Grid: Decentralized Autonomous Control for Effective Utilization and Resilience
par: Nandanoori, Sai Pushpak, et autres
Publié: (2024)

Hierarchical Motion Planning and Control under Unknown Nonlinear Dynamics via Predicted Reachability
par: Zhang, Zhiquan, et autres
Publié: (2026)

Input Matrix Optimization for Desired Reachable Set Warping of Linear Systems
par: Das, Hrishav, et autres
Publié: (2026)

Finite-time Reachability for Constrained, Partially Uncontrolled Nonlinear Systems
par: Padmanabhan, Ram, et autres
Publié: (2026)

Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems
par: El-Kebir, Hamza, et autres
Publié: (2025)

Dynamic Regret in Time-varying MDPs with Intermittent Information
par: Musavi, Negin, et autres
Publié: (2026)

Resource-Constrained Shortest Path with Polytopic Reset Sets
par: Surur, Khaled, et autres
Publié: (2026)

Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
par: Wei, Sihang, et autres
Publié: (2025)

Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches
par: Yin, Tianzhixi, et autres
Publié: (2024)

Frequency Control and Disturbance Containment Using Grid-Forming Embedded Storage Networks
par: Chatterjee, Kaustav, et autres
Publié: (2024)

Amortizing Trajectory Diffusion with Keyed Drift Fields
par: Puthumanaillam, Gokul, et autres
Publié: (2026)

Isolating Signatures of Cyberattacks under Stressed Grid Conditions
par: Ghosh, Sanchita, et autres
Publié: (2024)

Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems
par: Shafa, Taha, et autres
Publié: (2024)

Managing Risks from Large Digital Loads Using Coordinated Grid-Forming Storage Network
par: Kundu, Soumya, et autres
Publié: (2025)

Space Exploration Architecture and Design Framework for Commercialization
par: Chen, Hao, et autres
Publié: (2021)

Approximate Energetic Resilience of Nonlinear Systems under Partial Loss of Control Authority
par: Padmanabhan, Ram, et autres
Publié: (2025)

Motion Planning and Control with Unknown Nonlinear Dynamics through Predicted Reachability
par: Zhang, Zhiquan, et autres
Publié: (2025)

Grid-Forming Storage Networks: Analytical Characterization of Damping and Design Insights
par: Chatterjee, Kaustav, et autres
Publié: (2024)

Virtual Force-Based Routing of Modular Agents on a Graph
par: Casselman, Adam, et autres
Publié: (2025)

Coordinated Frequency Regulation in Grid-Forming Storage Network via Safety-Consensus
par: Hossain, Ramij Raja, et autres
Publié: (2024)

ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
par: Puthumanaillam, Gokul, et autres
Publié: (2024)

Intervention Strategies for Fairness and Efficiency at Autonomous Single-Intersection Traffic Flows
par: Ghori, Salman, et autres
Publié: (2025)

Lexicographic Multi-Objective Stochastic Shortest Path with Mixed Max-Sum Costs
par: Zhang, Zhiquan, et autres
Publié: (2025)

How Much Reserve Fuel: Quantifying the Maximal Energy Cost of System Disturbances
par: Padmanabhan, Ram, et autres
Publié: (2024)

Analysis of the Unscented Transform Controller for Systems with Bounded Nonlinearities
par: Dinkar, Siddharth A., et autres
Publié: (2025)

Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
par: Puthumanaillam, Gokul, et autres
Publié: (2023)

Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems
par: Bouvier, Jean-Baptiste, et autres
Publié: (2024)

Identity Concealment Games: How I Learned to Stop Revealing and Love the Coincidences
par: Karabag, Mustafa O., et autres
Publié: (2021)

InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management
par: Thangeda, Pranay, et autres
Publié: (2024)

The Continuous p-Dispersion Problem in Three Dimensions
par: Manoj, Sanjay, et autres
Publié: (2026)

Maximally Resilient Controllers under Temporal Logic Specifications
par: Si, Youssef Ait, et autres
Publié: (2025)

Temporal Logic Resilience for Dynamical Systems
par: Saoud, Adnane, et autres
Publié: (2024)

TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning
par: Puthumanaillam, Gokul, et autres
Publié: (2024)

GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments
par: Puthumanaillam, Gokul, et autres
Publié: (2024)

Resilient and Effort-Optimal Controller Synthesis under Temporal Logic Specifications
par: Si, Youssef Ait, et autres
Publié: (2026)

Muninn: Your Trajectory Diffusion Model But Faster
par: Puthumanaillam, Gokul, et autres
Publié: (2026)

Neural Network-based Co-design of Output-Feedback Control Barrier Function and Observer with Input Constraints
par: Jagabathula, Vaishnavi, et autres
Publié: (2025)