Andrea Simonetto

Hadi Jamali Rad

CoRR, 2024

2023

Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems.

[BibT_eX]

[DOI]

Filippo Fabiani

Paul J. Goulart

IEEE Trans. Autom. Control., December, 2023

Time-Varying Optimization of Networked Systems With Human Preferences.

[BibT_eX]

[DOI]

Ana M. Ospina

IEEE Trans. Control. Netw. Syst., March, 2023

Distributed Personalized Gradient Tracking With Convex Parametric Models.

[BibT_eX]

[DOI]

Ivano Notarnicola

Francesco Farina

Giuseppe Notarstefano

IEEE Trans. Autom. Control., 2023

Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization.

[BibT_eX]

[DOI]

Signal Process., 2023

Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing.

[BibT_eX]

[DOI]

CoRR, 2023

Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents.

[BibT_eX]

[DOI]

Filippo Fabiani

CoRR, 2023

Optimizing Variational Circuits for Higher-Order Binary Optimization.

[BibT_eX]

[DOI]

Zoé Verchère

Sourour Elloumi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Optimization Filters for Stochastic Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

Paolo Massioni

Proceedings of the European Control Conference, 2023

Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts.

[BibT_eX]

[DOI]

Eliabelle Mauduit

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Optimal Power Flow Pursuit in the Alternating Current Model.

[BibT_eX]

[DOI]

CoRR, 2022

Sketching the Best Approximate Quantum Compiling Problem.

[BibT_eX]

[DOI]

Liam Madden

Albert Akhriev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Learning equilibria with personalized incentives in a class of nonmonotone games.

[BibT_eX]

[DOI]

Filippo Fabiani

Paul J. Goulart

Proceedings of the European Control Conference, 2022

Achievement and Fragility of Long-term Equitability.

[BibT_eX]

[DOI]

Ivano Notarnicola

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Personalized optimization with user's feedback.

[BibT_eX]

[DOI]

Autom., 2021

2020

Dynamic Distribution State Estimation Using Synchrophasor Data.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Optimization and Learning With Information Streams: Time-varying algorithms and applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications.

[BibT_eX]

[DOI]

Georgios B. Giannakis

Proc. IEEE, 2020

Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Personalized Demand Response via Shape-Constrained Online Learning.

[BibT_eX]

[DOI]

Ana M. Ospina

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Smooth Strongly Convex Regression.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Inexact Online Proximal-gradient Method for Time-varying Convex Optimization.

[BibT_eX]

[DOI]

Amirhossein Ajalloeian

Proceedings of the 2020 American Control Conference, 2020

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise.

[BibT_eX]

[DOI]

Albert Akhriev

Jakub Marecek

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

Andrey Bernstein

IEEE Trans. Signal Process., 2019

Dual Prediction-Correction Methods for Linearly Constrained Time-Varying Convex Programs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method.

[BibT_eX]

[DOI]

Andrey Bernstein

IEEE Control. Syst. Lett., 2019

A city-scale IoT-enabled ridesharing platform.

[BibT_eX]

[DOI]

Claudio Gambella

Julien Monteil

Anton Dekusar

Sergio Cabrero Barros

Yassine Lassoued

CoRR, 2019

On the needs for MaaS platforms to handle competition in ridesharing mobility.

[BibT_eX]

[DOI]

CoRR, 2019

Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

2018

Optimal Power Flow Pursuit.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

An Incentive-Based Online Optimization Framework for Distribution Grids.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement.

[BibT_eX]

[DOI]

Venkat Roy

Sensors, 2018

Prediction-Correction Dual Ascent for Time-Varying Convex Programs.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Prediction-Correction Algorithms for Time-Varying Constrained Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Filtering Random Graph Processes Over Random Time-Varying Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Autoregressive Moving Average Graph Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Consistent sensor, relay, and link selection in wireless sensor networks.

[BibT_eX]

[DOI]

Rocio Arroyo-Valles

Signal Process., 2017

Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources.

[BibT_eX]

[DOI]

Andrey Bernstein

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

A Class of Prediction-Correction Methods for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Spatio-temporal sensor management for environmental field estimation.

[BibT_eX]

[DOI]

Venkat Roy

Signal Process., 2016

Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization.

[BibT_eX]

[DOI]

Hadi Jamali Rad

J. Optim. Theory Appl., 2016

Distributed Time-Varying Graph Filtering.

[BibT_eX]

[DOI]

CoRR, 2016

Separable autoregressive moving average graph-temporal filters.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

A Quasi-newton prediction-correction method for decentralized dynamic convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Design of distributed controllers seeking optimal power flow solutions under communication constraints.

[BibT_eX]

[DOI]

Sairaj V. Dhople

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Distributed Sparsity-Aware Sensor Selection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Distributed Autoregressive Moving Average Graph Filters.

[BibT_eX]

[DOI]

Andreas Loukas

IEEE Signal Process. Lett., 2015

SoC-Based Pattern Recognition Systems for Non Destructive Testing.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Target tracking with dynamic convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

A decentralized prediction-correction method for networked time-varying convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On non-differentiable time-varying optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Stochastic graph filtering on time-varying graphs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Prediction-correction methods for time-varying convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Distributed Maximum Likelihood Sensor Network Localization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms.

[BibT_eX]

[DOI]

Hadi Jamali Rad

IEEE Signal Process. Lett., 2014

Distributed Time-Varying Stochastic Optimization and Utility-Based Communication.

[BibT_eX]

[DOI]

Leon Kester

CoRR, 2014

A moving horizon convex relaxation for mobile sensor network localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Double smoothing for time-varying distributed multiuser optimization.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Sparsity-aware sensor selection for correlated noise.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Information Fusion, 2014

Distributed asynchronous time-varying constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Distributed Computation Particle Filters on GPU Architectures for Real-Time Control Applications.

[BibT_eX]

[DOI]

Mehdi Chitchian

Alexander S. van Amesfoort

IEEE Trans. Control. Syst. Technol., 2013

On Distributed Optimization, Convex Relaxations, and Sensor Network Localization Problems.

[BibT_eX]

[DOI]

CoRR, 2013

Indagini in Deep Inference.

[BibT_eX]

[DOI]

CoRR, 2013

Constrained distributed algebraic connectivity maximization in robotic networks.

[BibT_eX]

[DOI]

Alexander S. van Amesfoort

Autom., 2013

Adapting Particle Filter Algorithms to Many-Core Architectures.

[BibT_eX]

[DOI]

Mehdi Chitchian

Sundeep Prabhakar Chepuri

Henk J. Sips

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Tracking position and orientation of a mobile rigid body.

[BibT_eX]

[DOI]

Alle-Jan van der Veen

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Distributed Estimation and Control for Robotic Networks.

[BibT_eX]

[DOI]

PhD thesis, 2012

A regularized saddle-point algorithm for networked optimization with resource allocation constraints.

[BibT_eX]

[DOI]

Mikael Johansson

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed solution for a Maximum Variance Unfolding Problem with sensor and robotic network applications.

[BibT_eX]

[DOI]

Dimos V. Dimarogonas

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Distributed multi-target tracking via mobile robotic networks: A localized non-iterative SDP approach.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On distributed maximization of algebraic connectivity in robotic networks.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2011

2010

Distributed nonlinear estimation for robot localization using weighted consensus.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach.

[BibT_eX]

[DOI]

Proceedings of the Distributed Autonomous Robotic Systems, 2010

2008

A mobile network for mobile sensors.

[BibT_eX]

[DOI]