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IEEE Transactions on Automatic Control, ISSN 0018-9286, 01/2017, Volume 62, Issue 1, pp. 206 - 221
Journal Article
01/2016, ISBN 9781339442334
This dissertation is motivated by the pressing need for solving real-world large-scale optimization problems with the main objective of developing scalable... 
Electrical engineering | Computer science | Applied Mathematics
Dissertation
2018 IEEE Wireless Communications and Networking Conference (WCNC), ISSN 1525-3511, 04/2018, Volume 2018-, pp. 1 - 6
Joint data and off-grid narrow-band interference (NBI) recovery is investigated in orthogonal-frequency-division-multiplexing (OFDM) systems using... 
Communication systems | OFDM | Conferences | NBI | Convex functions | frequency-grid-mismatch | Computational complexity | ADMM | Standards | Optimization | compressive sensing | Frequency-grid-mismatch | Compressive sensing
Conference Proceeding
2013 3rd International Conference on Electric Power and Energy Conversion Systems, 10/2013, pp. 1 - 6
With the increasing fears of the impacts of the high penetration rates of Photovoltaic (PV) systems, a technical study about their effects on the power quality... 
Photovoltaic systems | power system harmonics | power system simulation | Switches | Pulse width modulation | Inverters | Harmonic distortion | EMTDC | total harmonic distortion | PSCAD | photovoltaic systems
Conference Proceeding
2013 3rd International Conference on Electric Power and Energy Conversion Systems, 10/2013, pp. 1 - 5
With the increasing deployment of wind energy technologies, innovative modern control theories, which utilize linear time invariant models, are being... 
Regulators | LQG | Kalman Filter | Wind Turbine | Estimation | Position measurement | Fatigue | Turbines | Linear Quadratic Gaussian
Conference Proceeding
2015 54th IEEE Conference on Decision and Control (CDC), ISSN 0743-1546, 12/2015, Volume 2016-, pp. 1742 - 1749
This paper aims to develop a fast, parallelizable algorithm for an arbitrary decomposable semidefinite program (SDP). To formulate a decomposable SDP, we... 
Symmetric matrices | Linear programming | Linear matrix inequalities | Matrix decomposition | Sparse matrices | Optimization | Convergence | Algorithms | Computation | Exact solutions | Eigenvalues | Electronics | Mathematical models | Decomposition | Iterative methods
Conference Proceeding
2015 54th IEEE Conference on Decision and Control (CDC), ISSN 0743-1546, 12/2015, Volume 54, pp. 5932 - 5939
This paper designs a distributed algorithm for solving sparse semidefinite programming (SDP) problems, based on the alternating direction method of multipliers... 
Algorithm design and analysis | Symmetric matrices | Heuristic algorithms | Programming | Matrix decomposition | Sparse matrices | Optimization | Algorithms | Computation | Power flow | Mathematical models | Decomposition | Iterative methods | Mathematical programming
Conference Proceeding
2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 09/2014, pp. 589 - 596
This paper is concerned with the design of an efficient convex relaxation for the notorious problem of stochastic optimal distributed control (SODC). The... 
Vectors | Convex functions | Decentralized control | Noise | Optimized production technology | Optimal control
Conference Proceeding
2017 IEEE Wireless Communications and Networking Conference (WCNC), 03/2017, pp. 1 - 6
In this paper, we propose a novel approach to recover off-grid narrow-band-interference (NBI) in orthogonalfrequency-division-multiplexing (OFDM) systems using... 
OFDM | Discrete Fourier transforms | Interference | Linear programming | Sparse matrices | Matrix decomposition | Optimization
Conference Proceeding
2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), 10/2016, pp. 1 - 4
In this paper, a novel approach is proposed to jointly recover the transmitted data and mitigate narrow-band interference (NBI) in OFDM systems using... 
Dictionaries | re-weighted | OFDM | Frequency-domain analysis | NBI | Interference | Binary phase shift keying | Optimization | compressive sensing
Conference Proceeding
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