activity
20122026
most citedGeometry of Power Flows and Optimization in Distribution Networks

184 citations · 354 across the 43 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

math.OC2019★ 3 cited

Escaping spurious local minimum trajectories in online time-varying nonconvex optimization

Yuhao Ding, Javad Lavaei, Murat Arcak

A major limitation of online algorithms that track the optimizers of time-varying nonconvex optimization problems is that they focus on a specific local minimum trajectory, which m…

math.OC2019★ 10 cited

Large-Scale Traffic Signal Offset Optimization

Yi Ouyang, Richard Y. Zhang, Javad Lavaei +1

The offset optimization problem seeks to coordinate and synchronize the timing of traffic signals throughout a network in order to enhance traffic flow and reduce stops and delays.…

eess.SP2019★ 2 cited

Boundary Defense against Cyber Threat for Power System Operation

Ming Jin, Javad Lavaei, Somayeh Sojoudi +1

The operation of power grids is becoming increasingly data-centric. While the abundance of data could improve the efficiency of the system, it poses major reliability challenges. I…

math.OC2019

Escaping Locally Optimal Decentralized Control Polices via Damping

Han Feng, Javad Lavaei

We study the evolution of locally optimal decentralized controllers with the damping of the control system. Empirically it is shown that even for instances with an exponential numb…

math.OC2019

On the Absence of Spurious Local Trajectories in Time-varying Nonconvex Optimization

S. Fattahi, C. Josz, Y. Ding +3

In this paper, we study the landscape of an online nonconvex optimization problem, for which the input data vary over time and the solution is a trajectory rather than a single poi…

math.OC2019★ 1 cited

Aggressive Local Search for Constrained Optimal Control Problems with Many Local Minima

Yuhao Ding, Han Feng, Javad Lavaei

This paper is concerned with numerically finding a global solution of constrained optimal control problems with many local minima. The focus is on the optimal decentralized control…

cs.LG2019★ 6 cited

Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery

Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei

Nonconvex matrix recovery is known to contain no spurious local minima under a restricted isometry property (RIP) with a sufficiently small RIP constant . If is too large, h…