Emiliano Dall'Anese

Orcid: 0000-0002-6486-7477

According to our database1, Emiliano Dall'Anese authored at least 136 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis.
IEEE Trans. Autom. Control., July, 2024

High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise.
J. Mach. Learn. Res., 2024

On the Stability of Power Transmission Systems Under Persistent Inverter Attacks: A Bi-Linear Matrix Approach.
IEEE Control. Syst. Lett., 2024

Equilibria and Their Stability Do Not Depend on the Control Barrier Function in Safe Optimization-Based Control.
CoRR, 2024

Characterization of the Dynamical Properties of Safety Filters for Linear Planar Systems.
CoRR, 2024

Incremental Volt/Var Control for Distribution Networks via Chance-Constrained Optimization.
CoRR, 2024

Online convex optimization for robust control of constrained dynamical systems.
CoRR, 2024

2023
Stochastic Saddle Point Problems with Decision-Dependent Distributions.
SIAM J. Optim., September, 2023

Time-Varying Optimization of Networked Systems With Human Preferences.
IEEE Trans. Control. Netw. Syst., March, 2023

Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems.
IEEE Control. Syst. Lett., 2023

Solving Decision-Dependent Games by Learning from Feedback.
CoRR, 2023

Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow.
CoRR, 2023

Singular Perturbation via Contraction Theory.
CoRR, 2023

Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing.
CoRR, 2023

Online Saddle Point Tracking with Decision-Dependent Data.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Driven and Online Estimation of Linear Sensitivity Distribution Factors: A Low-Rank Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Real-Time Distribution System State Estimation With Asynchronous Measurements.
IEEE Trans. Smart Grid, 2022

Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows.
IEEE Trans. Control. Netw. Syst., 2022

Online State Estimation for Time-Varying Systems.
IEEE Trans. Autom. Control., 2022

Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems.
SIAM J. Control. Optim., 2022

Online Projected Gradient Descent for Stochastic Optimization With Decision-Dependent Distributions.
IEEE Control. Syst. Lett., 2022

Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates.
IEEE Control. Syst. Lett., 2022

Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach.
IEEE Control. Syst. Lett., 2022

Perception-Based Sampled-Data Optimization of Dynamical Systems.
CoRR, 2022

k-Dimensional Agreement in Multiagent Systems.
CoRR, 2022

Online Optimization of Dynamical Systems with Deep Learning Perception.
CoRR, 2022

Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows.
Autom., 2022

Online Weak-form Sparse Identification of Partial Differential Equations.
Proceedings of the Mathematical and Scientific Machine Learning, 2022

Sliding-Seeking Control: Model-Free Optimization with Safety Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions.
Proceedings of the Learning for Dynamics and Control Conference, 2022

OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Online Stochastic Gradient Methods Under Sub-Weibull Noise and the Polyak-Łojasiewicz Condition.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Feedback-Based Optimization of Power Systems: Resilience to Persistent Attacks.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Online Optimization of Linear-Time Invariant Dynamical Systems with Cost Perception.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Bounds for the Tracking Error of First-Order Online Optimization Methods.
J. Optim. Theory Appl., 2021

Data-based Online Optimization of Networked Systems with Infrequent Feedback.
CoRR, 2021

Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization.
CoRR, 2021

Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis.
CoRR, 2021

Convergence of the Inexact Online Gradient and Proximal-Gradient Under the Polyak-Łojasiewicz Condition.
CoRR, 2021

A Stochastic Operator Framework for Inexact Static and Online Optimization.
CoRR, 2021

Personalized optimization with user's feedback.
Autom., 2021

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization.
Proceedings of the 2021 European Control Conference, 2021

Personalized Online Optimization of Networked Systems via Gaussian Processes.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Self-Optimizing Traffic Light Control Using Hybrid Accelerated Extremum Seeking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Dynamic Distribution State Estimation Using Synchrophasor Data.
IEEE Trans. Smart Grid, 2020

Aggregate Power Flexibility in Unbalanced Distribution Systems.
IEEE Trans. Smart Grid, 2020

Online Optimization as a Feedback Controller: Stability and Tracking.
IEEE Trans. Control. Netw. Syst., 2020

Online Stochastic Optimization of Networked Distributed Energy Resources.
IEEE Trans. Autom. Control., 2020

Optimization and Learning With Information Streams: Time-varying algorithms and applications.
IEEE Signal Process. Mag., 2020

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications.
Proc. IEEE, 2020

Online State Estimation for Systems with Asynchronous Sensors.
CoRR, 2020

Online Proximal-ADMM For Time-varying Constrained Optimization.
CoRR, 2020

Personalized Demand Response via Shape-Constrained Online Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

On the greedy placement of energy storage systems in distribution grids.
Proceedings of the 2020 American Control Conference, 2020

Inexact Online Proximal-gradient Method for Time-varying Convex Optimization.
Proceedings of the 2020 American Control Conference, 2020

2019
A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature.
IEEE Trans. Signal Process., 2019

Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization.
IEEE Trans. Signal Process., 2019

Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution.
IEEE Trans. Control. Netw. Syst., 2019

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach.
IEEE Trans. Control. Netw. Syst., 2019

On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method.
IEEE Control. Syst. Lett., 2019

Saddle-Flow Dynamics for Distributed Feedback-Based Optimization.
IEEE Control. Syst. Lett., 2019

Dynamic Power Network State Estimation with Asynchronous Measurements.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Online Sparse Subspace Clustering.
Proceedings of the IEEE Data Science Workshop, 2019

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms.
Proceedings of the 2019 American Control Conference, 2019

2018
Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM.
IEEE Trans. Smart Grid, 2018

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables.
IEEE Trans. Smart Grid, 2018

Optimal Power Flow Pursuit.
IEEE Trans. Smart Grid, 2018

Mitigating Communication Delays in Remotely Connected Hardware-in-the-Loop Experiments.
IEEE Trans. Ind. Electron., 2018

An Incentive-Based Online Optimization Framework for Distribution Grids.
IEEE Trans. Autom. Control., 2018

A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems.
SIGMETRICS Perform. Evaluation Rev., 2018

Dynamic Power Distribution System Management With a Locally Connected Communication Network.
IEEE J. Sel. Top. Signal Process., 2018

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies.
CoRR, 2018

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies.
CoRR, 2018

Joint Probabilistic Forecasts of Temperature and Solar Irradiance.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Autonomous Energy Grids.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Asynchronous and Distributed Tracking of Time-Varying Fixed Points.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Prediction-Correction Algorithms for Time-Varying Constrained Optimization.
IEEE Trans. Signal Process., 2017

Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models.
CoRR, 2017

Stochastic dual algorithm for voltage regulation in distribution networks with discrete loads.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Linear power-flow models in multiphase distribution networks.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Network-cognizant design of decentralized Volt/VAR controllers.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Dynamic ADMM for real-time optimal power flow.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Bi-level dynamic optimization with feedback.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Engineering inertial and primary-frequency response for distributed energy resources.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distributed optimal power flow using feasible point pursuit.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Incentive-based voltage regulation in distribution networks.
Proceedings of the 2017 American Control Conference, 2017

Regulation of renewable energy sources to optimal power flow solutions using ADMM.
Proceedings of the 2017 American Control Conference, 2017

Primary frequency response with aggregated DERs.
Proceedings of the 2017 American Control Conference, 2017

2016
Scalable Optimization Methods for Distribution Networks With High PV Integration.
IEEE Trans. Smart Grid, 2016

Design of distributed controllers seeking optimal power flow solutions under communication constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal power flow for distribution systems under uncertain forecasts.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal power flow pursuit.
Proceedings of the 2016 American Control Conference, 2016

2015
Guest editorial introduction to the special issue on "advanced signal processing techniques and telecommunications network infrastructures for smart grid analysis, monitoring, and management".
EURASIP J. Adv. Signal Process., 2015

Regulation of dynamical systems to optimal solutions of semidefinite programs: Algorithms and applications to AC optimal power flow.
Proceedings of the American Control Conference, 2015

Robust kriged Kalman filtering.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Dynamic Network Delay Cartography.
IEEE Trans. Inf. Theory, 2014

Cross-Layer Optimization and Receiver Localization for Cognitive Networks Using Interference Tweets.
IEEE J. Sel. Areas Commun., 2014

Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties.
CoRR, 2014

2013
Distributed Optimal Power Flow for Smart Microgrids.
IEEE Trans. Smart Grid, 2013

Sparsity-leveraging Reconfiguration of Smart Distribution Systems
CoRR, 2013

Hierarchical spectrum sharing using interference tweets.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Joint resource allocation and receiver map estimation in underlay cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2013

Primary receiver localization using sparsity and interference tweets.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Optimal distributed generation placement in distribution systems via semidefinite relaxation.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Distributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties.
IEEE Trans. Signal Process., 2012

Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers.
Phys. Commun., 2012

Statistical Routing for Multihop Wireless Cognitive Networks.
IEEE J. Sel. Areas Commun., 2012

Dynamic network kriging.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Distributed robust beamforming for MIMO cognitive networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Statistical routing for cognitive random access networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Power Control for Cognitive Radio Networks Under Channel Uncertainty.
IEEE Trans. Wirel. Commun., 2011

Channel Gain Map Tracking via Distributed Kriging.
IEEE Trans. Veh. Technol., 2011

Fast Consensus by the Alternating Direction Multipliers Method.
IEEE Trans. Signal Process., 2011

Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering.
IEEE J. Sel. Top. Signal Process., 2011

Sum mutual information of block-faded MIMO MAC with LMMSE channel estimation for packet transmission.
Proceedings of the 14th International Symposium on Wireless Personal Multimedia Communications, 2011

Fast clock synchronization in wireless sensor networks via ADMM-based consensus.
Proceedings of the 9th International Symposium on Modeling and Optimization in Mobile, 2011

Admission and power control for cognitive radio networks by sequential geometric programming.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Power Allocation for Cognitive Radio Networks under Channel Uncertainty.
Proceedings of IEEE International Conference on Communications, 2011

Distributed cognitive spectrum sensing via group sparse total least-squares.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Joint rate and power control for coded cognitive radio networks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session WA4a: Cooperation & relays.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
On the Robustness of MIMO LMMSE Channel Estimation.
IEEE Trans. Wirel. Commun., 2010

Geostatistics-inspired sparsity-aware cooperative spectrum sensing for cognitive radio networks.
Proceedings of the Second International Workshop on Mobile Opportunistic Networking, 2010

Collaborative channel gain map tracking for cognitive radios.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
On the Effect of Imperfect Channel Estimation upon the Capacity of Correlated MIMO Fading Channels.
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009

Linear MMSE MIMO Channel Estimation with Imperfect Channel Covariance Information.
Proceedings of IEEE International Conference on Communications, 2009


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