Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
Fuente:
arXiv
Saved in:
| Main Authors: | Carnevale, Guido, Mimmo, Nicola, Notarstefano, Giuseppe |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extremum Seeking Tracking for Derivative-free Distributed Optimization
by: Mimmo, Nicola, et al.
Published: (2021)
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)
by: Carnevale, Guido, et al.
Published: (2024)
A Unifying System Theory Framework for Distributed Optimization and Games
by: Carnevale, Guido, et al.
Published: (2024)
by: Carnevale, Guido, et al.
Published: (2024)
Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
by: Brumali, Riccardo, et al.
Published: (2025)
by: Brumali, Riccardo, et al.
Published: (2025)
Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)
by: Carnevale, Guido, et al.
Published: (2025)
Safe Control of Feedback-Interconnected Systems via Singular Perturbations
by: Di Gregorio, Stefano, et al.
Published: (2026)
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)
by: Di Gregorio, Stefano, 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)
by: Testa, Andrea, et al.
Published: (2023)
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)
Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
by: Tavakoli, Meisam, et al.
Published: (2025)
by: Tavakoli, Meisam, et al.
Published: (2025)
A Distributed Bilevel Framework for the Macroscopic Optimization of Multi-Agent Systems
by: Brumali, Riccardo, et al.
Published: (2026)
by: Brumali, Riccardo, et al.
Published: (2026)
Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens
by: Carnevale, Guido, et al.
Published: (2025)
by: Carnevale, Guido, et al.
Published: (2025)
Tracking-based distributed equilibrium seeking for aggregative games
by: Carnevale, Guido, et al.
Published: (2022)
by: Carnevale, Guido, et al.
Published: (2022)
Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach
by: Aldana-López, Rodrigo, et al.
Published: (2024)
by: Aldana-López, Rodrigo, et al.
Published: (2024)
On Reward-Balancing Methods for Reinforcement Learning
by: Baroncini, Simone, et al.
Published: (2026)
by: Baroncini, Simone, et al.
Published: (2026)
Model-Free Aggregative Cooperative Optimization via Randomized Gradient-Free Minimization and Exploration Momentum
by: Mehrnoosh, Amir, et al.
Published: (2026)
by: Mehrnoosh, Amir, 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)
Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)
by: Zhang, Kunpeng, et al.
Published: (2025)
A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2023)
by: Ou, Zichong, et al.
Published: (2023)
Distributed Nonconvex Optimization: Gradient-free Iterations and $ε$-Globally Optimal Solution
by: He, Zhiyu, et al.
Published: (2020)
by: He, Zhiyu, et al.
Published: (2020)
Variance-Reduced Gradient Estimator for Nonconvex Zeroth-Order Distributed Optimization
by: Mu, Huaiyi, et al.
Published: (2024)
by: Mu, Huaiyi, et al.
Published: (2024)
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
by: Bosso, Alessandro, et al.
Published: (2024)
by: Bosso, Alessandro, et al.
Published: (2024)
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient
by: Sforni, Lorenzo, et al.
Published: (2024)
by: Sforni, Lorenzo, et al.
Published: (2024)
Advocating Feedback Control for Human-Earth System Applications
by: Cavraro, Guido
Published: (2024)
by: Cavraro, Guido
Published: (2024)
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)
Network-aware Recommender System via Online Feedback Optimization
by: Chandrasekaran, Sanjay, et al.
Published: (2024)
by: Chandrasekaran, Sanjay, et al.
Published: (2024)
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)
A Comparative Study of Distributed Feedback Optimizing Control Architectures
by: Dirza, Risvan, et al.
Published: (2024)
by: Dirza, Risvan, et al.
Published: (2024)
Decentralized Feedback Optimization via Sensitivity Decoupling: Stability and Sub-optimality
by: Wang, Wenbin, et al.
Published: (2023)
by: Wang, Wenbin, et al.
Published: (2023)
A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)
by: Qiu, Chenyang, et al.
Published: (2026)
Quantum Hamiltonian Descent based Augmented Lagrangian Method for Constrained Nonconvex Nonlinear Optimization
by: Li, Mingze, et al.
Published: (2025)
by: Li, Mingze, et al.
Published: (2025)
A Sequential Operator-Splitting Framework for Exploration of Nonconvex Trajectory Optimization Solution Spaces
by: Ganiban, Justin, et al.
Published: (2025)
by: Ganiban, Justin, et al.
Published: (2025)
One-Point Residual Feedback Algorithms for Distributed Online Convex and Non-convex Optimization
by: Wang, Yaowen, et al.
Published: (2025)
by: Wang, Yaowen, et al.
Published: (2025)
On Linear Convergence of Distributed Stochastic Bilevel Optimization over Undirected Networks via Gradient Aggregation
by: Tak, Ajay, et al.
Published: (2025)
by: Tak, Ajay, et al.
Published: (2025)
Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)
by: Wang, Renzi, et al.
Published: (2026)
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)
On Sufficient Richness for Linear Time-Invariant Systems
by: Borghesi, Marco, et al.
Published: (2025)
by: Borghesi, Marco, et al.
Published: (2025)
A Brief Tutorial on Consensus ADMM for Distributed Optimization with Applications in Robotics
by: Chen, Jushan
Published: (2024)
by: Chen, Jushan
Published: (2024)
Policy Optimization of Mixed H2/H-infinity Control: Benign Nonconvexity and Global Optimality
by: Pai, Chih-Fan, et al.
Published: (2026)
by: Pai, Chih-Fan, et al.
Published: (2026)
Explicit Agent-Level Optimal Cooperative Controllers for Dynamically Decoupled Systems with Output Feedback
by: Kashyap, Mruganka, et al.
Published: (2019)
by: Kashyap, Mruganka, et al.
Published: (2019)
Similar Items
-
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 Unifying System Theory Framework for Distributed Optimization and Games
by: Carnevale, Guido, et al.
Published: (2024) -
Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
by: Brumali, Riccardo, et al.
Published: (2025) -
Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)