Cover Image

A Unifying System Theory Framework for Distributed Optimization and Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carnevale, Guido, Mimmo, Nicola, Notarstefano, Giuseppe
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

Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
by: Carnevale, Guido, et al.
Published: (2023)

Extremum Seeking Tracking for Derivative-free Distributed Optimization
by: Mimmo, Nicola, et al.
Published: (2021)

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration
by: Carnevale, Guido, et al.
Published: (2024)

A Distributed Bilevel Framework for the Macroscopic Optimization of Multi-Agent Systems
by: Brumali, Riccardo, et al.
Published: (2026)

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
by: Carnevale, Guido, et al.
Published: (2023)

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
by: Brumali, Riccardo, et al.
Published: (2025)

A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
by: Testa, Andrea, et al.
Published: (2023)

Safe Control of Feedback-Interconnected Systems via Singular Perturbations
by: Di Gregorio, Stefano, et al.
Published: (2026)

Nonlinear MPC for Feedback-Interconnected Systems: a Suboptimal and Reduced-Order Model Approach
by: Di Gregorio, Stefano, et al.
Published: (2025)

Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
by: Tavakoli, Meisam, et al.
Published: (2025)

Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens
by: Carnevale, Guido, et al.
Published: (2025)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

Tracking-based distributed equilibrium seeking for aggregative games
by: Carnevale, Guido, et al.
Published: (2022)

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach
by: Aldana-López, Rodrigo, et al.
Published: (2024)

Model-Free Aggregative Cooperative Optimization via Randomized Gradient-Free Minimization and Exploration Momentum
by: Mehrnoosh, Amir, et al.
Published: (2026)

On Reward-Balancing Methods for Reinforcement Learning
by: Baroncini, Simone, et al.
Published: (2026)

Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness
by: Messilem, Mohamed Abdelmouamin, et al.
Published: (2025)

Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
by: Bosso, Alessandro, et al.
Published: (2024)

A Unifying Primal-Dual Proximal Framework for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2026)

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient
by: Sforni, Lorenzo, et al.
Published: (2024)

On Sufficient Richness for Linear Time-Invariant Systems
by: Borghesi, Marco, et al.
Published: (2025)

Unifying Distributionally Robust Optimization via Optimal Transport Theory
by: Blanchet, Jose, et al.
Published: (2023)

Control-Based Online Distributed Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

Assessing EV Charging Impacts on Power Distribution Systems: A Unified Co-Simulation Framework
by: Iranpour, Mohammadreza, et al.
Published: (2025)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent
by: Grontas, Panagiotis D., et al.
Published: (2023)

A Distributionally Robust Optimization Framework for Stochastic Assessment of Power System Flexibility in Economic Dispatch
by: Zhao, Xinyi, et al.
Published: (2024)

NPGA: A Unified Algorithmic Framework for Decentralized Constraint-Coupled Optimization
by: Li, Jingwang, et al.
Published: (2022)

A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
by: Bastianello, Nicola, et al.
Published: (2021)

A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration
by: Teruzzi, Martina, et al.
Published: (2023)

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

Convergence Analysis of Distributed Optimization: A Dissipativity Framework
by: Karakai, Aron, et al.
Published: (2025)

A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
by: Bastianello, Nicola, et al.
Published: (2018)

A Unified Framework for Analyzing and Optimizing a Class of Convex Fairness Measures
by: Tsang, Man Yiu, et al.
Published: (2022)

A Unified Zeroth-Order Optimization Framework via Oblivious Randomized Sketching
by: Ye, Haishan, et al.
Published: (2025)

Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)

Online Feedback Optimization over Networks: A Distributed Model-free Approach
by: Wang, Wenbin, et al.
Published: (2024)

Unified Control Framework: A Novel Perspective on Constrained Optimization, Optimization-based Control, and Parameter Estimation
by: Gunjal, Revati, et al.
Published: (2024)

SUN-DSBO: A Structured Unified Framework for Nonconvex Decentralized Stochastic Bilevel Optimization
by: Ma, Yaoshuai, et al.
Published: (2026)