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20122026
most citedDistributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties

85 citations · 102 across the 14 of their papers we have counts for

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Showing 2018 · math.OCShow all

5 papers · 2 filters

math.OC2018

Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems

Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein +1

This paper considers a nonconvex optimization problem that evolves over time, and addresses the synthesis and analysis of regularized primal-dual gradient methods to track a Karush…

math.OC2018

Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources

Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein +1

This paper develops and compares algorithms to compute inner approximations of the Minkowski sum of convex polytopes. As an application, the paper considers the computation of the…

math.OC2018

Online Optimization as a Feedback Controller: Stability and Tracking

Marcello Colombino, Emiliano Dall'Anese, Andrey Bernstein

This paper develops and analyzes feedback-based online optimization methods to regulate the output of a linear time-invariant (LTI) dynamical system to the optimal solution of a ti…

math.OC2018

Asynchronous and Distributed Tracking of Time-Varying Fixed Points

Andrey Bernstein, Emiliano Dall'Anese

This paper develops an algorithmic framework for tracking fixed points of time-varying contraction mappings. Analytical results for the tracking error are established for the cases…

math.OC2018

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

Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto

This paper addresses the design and analysis of feedback-based online algorithms to control systems or networked systems based on performance objectives and engineering constraints…