Cover Image

Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Davydov, Alexander, Centorrino, Veronica, Gokhale, Anand, Russo, Giovanni, Bullo, Francesco
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Systems and Control Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Weakly Contracting Dynamics for Convex Optimization
by: Centorrino, Veronica, et al.
Published: (2024)

Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications
by: Gokhale, Anand, et al.
Published: (2024)

Positive Competitive Networks for Sparse Reconstruction
by: Centorrino, Veronica, et al.
Published: (2023)

Perspectives on Contractivity in Control, Optimization, and Learning
by: Davydov, Alexander, et al.
Published: (2024)

Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization
by: Centorrino, Veronica, et al.
Published: (2025)

Incremental Input-to-State Stability and Equilibrium Tracking for Stochastic Contracting Dynamics
by: Kawano, Yu, et al.
Published: (2026)

Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity
by: Davydov, Alexander, et al.
Published: (2024)

Modeling and Contractivity of Neural-Synaptic Networks with Hebbian Learning
by: Centorrino, Veronica, et al.
Published: (2022)

Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks
by: Davydov, Alexander, et al.
Published: (2021)

Neural Policy Composition from Free Energy Minimization
by: Rossi, Francesca, et al.
Published: (2025)

Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
by: Gokhale, Anand, et al.
Published: (2026)

Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales
by: Centorrino, Veronica, et al.
Published: (2025)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays
by: Kirchner, Matthew R.
Published: (2019)

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026)

Time-Varying Optimization for Streaming Data Via Temporal Weighting
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach
by: Yeganeh, Rahman Saadat, et al.
Published: (2024)

Differentially Private Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation Problems
by: Wu, Wenwen, et al.
Published: (2022)

Contractivity of Multi-Stage Runge-Kutta Dynamics
by: Kawano, Yu, et al.
Published: (2026)

Invertibility of Discrete-Time Linear Systems with Sparse Inputs
by: Poe, Kyle, et al.
Published: (2024)

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Space-Time Adaptive Processing for radars in Connected and Automated Vehicular Platoons
by: Esmaeilbeig, Zahra, et al.
Published: (2023)

Distributed Target Tracking based on Localization with Linear Time-Difference-of-Arrival Measurements: A Delay-Tolerant Networked Estimation Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

The Yakubovich S-Lemma Revisited: Stability and Contractivity in Non-Euclidean Norms
by: Proskurnikov, Anton V., et al.
Published: (2022)

One-Point Sampling for Distributed Bandit Convex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)

A New Class of Path-Following Method for Time-Varying Optimization with Optimal Parametric Function
by: Amidzadeh, Mohsen
Published: (2022)

Contractivity Analysis and Control Design for Lur'e Systems: Lipschitz, Incrementally Sector Bounded, and Monotone Nonlinearities
by: Shima, Ryotaro, et al.
Published: (2025)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines
by: Rezaeizadeh, Amin, et al.
Published: (2024)

Protection Against Graph-Based False Data Injection Attacks on Power Systems
by: Morgenstern, Gal, et al.
Published: (2023)

Model-Predictive Control with NUP Priors
by: Keusch, Raphael, et al.
Published: (2023)

Forecasting in the presence of scale-free noise
by: Kryhin, Serhii, et al.
Published: (2026)

Probabilistic Formulations for System Identification of Linear Dynamics with Bilinear Observation Models
by: Liu, Diyou, et al.
Published: (2025)

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations
by: Kaya, Ege C., et al.
Published: (2024)

Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles
by: Pougkakiotis, Spyridon, et al.
Published: (2024)

Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design
by: Xu, Xiaoxia, et al.
Published: (2025)

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2026)

Constrained Parameter Update Law for Adaptive Control
by: Dani, Ashwin P.
Published: (2025)

Two-Way Coding in Control Systems Under Injection Attacks: From Attack Detection to Attack Correction
by: Fang, Song, et al.
Published: (2019)