A Control Theoretical Approach to Online Constrained Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Casti, Umberto, Bastianello, Nicola, Carli, Ruggero, Zampieri, Sandro |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Anti-windup design for internal model online constrained optimization
by: Casti, Umberto, et al.
Published: (2025)
by: Casti, Umberto, et al.
Published: (2025)
Stochastic models for online optimization
by: Casti, Umberto, et al.
Published: (2024)
by: Casti, Umberto, et al.
Published: (2024)
Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective
by: Bastianello, Nicola, et al.
Published: (2024)
by: Bastianello, Nicola, et al.
Published: (2024)
A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
by: Bastianello, Nicola, et al.
Published: (2021)
by: Bastianello, Nicola, et al.
Published: (2021)
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
by: Bastianello, Nicola, et al.
Published: (2019)
by: Bastianello, Nicola, et al.
Published: (2019)
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes
by: Bastianello, Nicola, et al.
Published: (2019)
by: Bastianello, Nicola, et al.
Published: (2019)
Control-Based Online Distributed Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
by: Carnevale, Guido, et al.
Published: (2023)
by: Carnevale, Guido, et al.
Published: (2023)
Adaptive Online Optimization for Microgrids with Renewable Energy Sources
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
Controllable Neural Architectures for Multi-Task Control
by: Casti, Umberto, et al.
Published: (2025)
by: Casti, Umberto, et al.
Published: (2025)
Self-Identifying Internal Model-Based Online Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
Feedback-Based Optimization with Sub-Weibull Gradient Errors and Intermittent Updates
by: Ospina, Ana M., et al.
Published: (2021)
by: Ospina, Ana M., et al.
Published: (2021)
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)
by: Rikos, Apostolos I., et al.
Published: (2025)
A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization
by: Centorrino, Veronica, et al.
Published: (2026)
by: Centorrino, Veronica, et al.
Published: (2026)
Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)
by: Bastianello, Nicola, et al.
Published: (2023)
(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)
by: Barreau, Matthieu, et al.
Published: (2024)
Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)
by: Carnevale, Guido, et al.
Published: (2025)
Geometric SSM: LTI State Space Models for Selective Tasks
by: Casti, Umberto, et al.
Published: (2025)
by: Casti, Umberto, et al.
Published: (2025)
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
by: Tonini, Stefano, et al.
Published: (2026)
by: Tonini, Stefano, et al.
Published: (2026)
Asynchronous Distributed Learning with Quantized Finite-Time Coordination
by: Bastianello, Nicola, et al.
Published: (2024)
by: Bastianello, Nicola, et al.
Published: (2024)
Security of Gradient Tracking Algorithms Against Malicious Agents
by: Anand, Sribalaji C., et al.
Published: (2025)
by: Anand, Sribalaji C., et al.
Published: (2025)
Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)
by: Deplano, Diego, et al.
Published: (2025)
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
by: Nonhoff, Marko, et al.
Published: (2026)
by: Nonhoff, Marko, et al.
Published: (2026)
Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)
by: Zhang, Kunpeng, et al.
Published: (2025)
EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources
by: Perin, Giovanni, et al.
Published: (2021)
by: Perin, Giovanni, et al.
Published: (2021)
Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
by: Pantazis, Georgios, et al.
Published: (2025)
by: Pantazis, Georgios, et al.
Published: (2025)
Discrete Distributionally Robust Optimal Control with Explicitly Constrained Optimization
by: Shida, Yuma, et al.
Published: (2024)
by: Shida, Yuma, et al.
Published: (2024)
Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)
by: Ren, Xiaoxing, et al.
Published: (2025)
Communication-Efficient Stochastic Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)
by: Ren, Xiaoxing, et al.
Published: (2025)
An ANN-Enhanced Approach for Flatness-Based Constrained Control of Nonlinear Systems
by: Do, Huu-Thinh, et al.
Published: (2025)
by: Do, Huu-Thinh, et al.
Published: (2025)
Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization
by: Centorrino, Veronica, et al.
Published: (2025)
by: Centorrino, Veronica, et al.
Published: (2025)
Steady-state Based Approach to Online Non-stochastic Control
by: Hebbar, Vijeth, et al.
Published: (2026)
by: Hebbar, Vijeth, et al.
Published: (2026)
Optimal $\mathbb{H}_2$ Control with Passivity-Constrained Feedback: Convex Approach
by: Scruggs, J. T.
Published: (2025)
by: Scruggs, J. T.
Published: (2025)
An Exact Quantile-Energy Equality for Terminal Halfspaces in Linear-Gaussian Control with a Discrete-Time Companion, KL/Schrodinger Links, and High-Precision Validation
by: Andric, Sandro
Published: (2025)
by: Andric, Sandro
Published: (2025)
Zeroth-Order Constrained Optimization from a Control Perspective via Feedback Linearization
by: Zhang, Runyu, et al.
Published: (2025)
by: Zhang, Runyu, et al.
Published: (2025)
Chance-Constrained Control for Safe Spacecraft Autonomy: Convex Programming Approach
by: Oguri, Kenshiro
Published: (2024)
by: Oguri, Kenshiro
Published: (2024)
Similar Items
-
Anti-windup design for internal model online constrained optimization
by: Casti, Umberto, et al.
Published: (2025) -
Stochastic models for online optimization
by: Casti, Umberto, et al.
Published: (2024) -
Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective
by: Bastianello, Nicola, et al.
Published: (2024) -
A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
by: Bastianello, Nicola, et al.
Published: (2021) -
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
by: Bastianello, Nicola, et al.
Published: (2019)