Cover Image

A Robust Optimization Approach to Network Control Using Local Information Exchange

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Darivianakis, Georgios, Georghiou, Angelos, Shafiee, Soroosh, Lygeros, John
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distributionally Robust Optimization with Decision-Dependent Information Discovery
by: Jin, Qing, et al.
Published: (2024)

Robust Data-driven Prescriptiveness Optimization
by: Poursoltani, Mehran, et al.
Published: (2023)

Distributionally Robust Optimization
by: Kuhn, Daniel, et al.
Published: (2024)

Frequency Constrained MPC for Efficient Grid Side Operation of Wind Power Conversion Systems
by: Karaca, Orcun, et al.
Published: (2024)

Inverse Optimization via Learning Feasible Regions
by: Ren, Ke, et al.
Published: (2025)

Wasserstein Distributionally Robust Online Learning
by: Chen, Guixian, et al.
Published: (2026)

Mitigating optimistic bias in entropic risk estimation and optimization
by: Sadana, Utsav, et al.
Published: (2024)

Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
by: Shafiee, Soroosh, et al.
Published: (2023)

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)

Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
by: Zuliani, Riccardo, et al.
Published: (2024)

Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
by: Aolaritei, Liviu, et al.
Published: (2022)

A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems
by: Khodakaramzadeh, Shabnam, et al.
Published: (2025)

Mean-Covariance Robust Risk Measurement
by: Nguyen, Viet Anh, et al.
Published: (2021)

Scalable First-order Method for Certifying Optimal k-Sparse GLMs
by: Liu, Jiachang, et al.
Published: (2025)

GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal $k$-sparse GLMs
by: Liu, Jiachang, et al.
Published: (2026)

Projection-Free Algorithms for Minimax Problems
by: Giang-Tran, Khanh-Hung, et al.
Published: (2026)

Auto-Conditioned Frank-Wolfe Algorithms
by: Giang-Tran, Khanh-Hung, et al.
Published: (2026)

Differentiable-by-design Nonlinear Optimization for Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

Policy Optimization for Unknown Systems using Differentiable Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization
by: Centorrino, Veronica, et al.
Published: (2026)

Data-Driven Distributionally Robust System Level Synthesis
by: Micheli, Francesco, et al.
Published: (2024)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
by: Cummins, Michael, et al.
Published: (2024)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
by: Zuliani, Riccardo, et al.
Published: (2023)

Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers
by: Brouillon, Jean-Sébastien, et al.
Published: (2023)

Joint Chance Constrained Optimal Control via Linear Programming
by: Schmid, Niklas, et al.
Published: (2024)

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets
by: Fochesato, Marta, et al.
Published: (2025)

Interconnection of (Q,S,R)-Dissipative Systems in Discrete Time
by: Martinelli, Andrea, et al.
Published: (2023)

Convergence guarantees for adaptive model predictive control with kinky inference
by: Zuliani, Riccardo, et al.
Published: (2023)

Speed-Aware Network Design: A Parametric Optimization Approach
by: Rosolia, Ugo, et al.
Published: (2025)

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)

Adaptive Economic Model Predictive Control for linear systems with performance guarantees
by: Degner, Maximilian, et al.
Published: (2024)

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
by: Degner, Maximilian, et al.
Published: (2024)

Computing Optimal Joint Chance Constrained Control Policies
by: Schmid, Niklas, et al.
Published: (2023)

Operator Splitting for Convex Constrained Markov Decision Processes
by: Grontas, Panagiotis D., et al.
Published: (2024)

Robust and Adaptive Optimization under a Large Language Model Lens
by: Bertsimas, Dimitris, et al.
Published: (2024)

Parallel Model Predictive Control for Deterministic Systems
by: Li, Yuchao, et al.
Published: (2023)

Data-Driven Extrusion Force Control Tuning for 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
by: Ohnemus, Jonas, et al.
Published: (2025)

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
by: Kühne, Marino, et al.
Published: (2025)