Armin Zare

CoRR, 2024

Short-Term Wind Forecasting Using Surface Pressure Measurements.

[BibT_eX]

[DOI]

Seyedalireza Abootorabi

Stefano Leonardi

Mario A. Rotea

Proceedings of the American Control Conference, 2024

2023

Robustness of two-dimensional stochastic dynamical wake models for yawed wind turbines.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

The effect of base flow uncertainty on transitional channel flows.

[BibT_eX]

[DOI]

Dhanushki Hewawaduge

Proceedings of the American Control Conference, 2022

Toward stochastic dynamical wake-modeling for wind farms.

[BibT_eX]

[DOI]

Aditya H. Bhatt

Proceedings of the American Control Conference, 2022

2021

Data-enhanced Kalman filtering of colored process noise.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robustness of variance suppression in channel flows with imperfect transverse wall oscillations.

[BibT_eX]

[DOI]

Dhanushki Hewawaduge

Tyler H. Summers

Proceedings of the 2021 American Control Conference, 2021

2020

Proximal Algorithms for Large-Scale Statistical Modeling and Sensor/Actuator Selection.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Stochastic Dynamical Modeling of Turbulent Flows.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2020

2019

Drag reduction in turbulent channel flow over spatially periodic surfaces.

[BibT_eX]

[DOI]

Wei Ran

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Relating global and local stochastic receptivity analysis of boundary layer flows.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Proximal algorithms for large-scale statistical modeling and optimal sensor/actuator selection.

[BibT_eX]

[DOI]

CoRR, 2018

Optimal Sensor Selection via Proximal Optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Low-complexity modeling of mode interactions in boundary layer flows.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

State and noise covariance estimation in power grids using limited nodal PMUs.

[BibT_eX]

[DOI]

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

Structured covariance completion via proximal algorithms.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Low-complexity stochastic modeling of spatially-evolving flows.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

Perturbation of system dynamics and the covariance completion problem.

[BibT_eX]

[DOI]

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

The use of the r* heuristic in covariance completion problems.

[BibT_eX]

[DOI]

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

2015

Alternating direction optimization algorithms for covariance completion problems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Completion of partially known turbulent flow statistics.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

2012

Turbulent drag reduction by streamwise traveling waves.

[BibT_eX]

[DOI]

Binh K. Lieu