2 citations · 2 across the 2 of their papers we have counts for
11 papers
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin, Yu Xing, Xingkang He
As one of the most fundamental stochastic optimization algorithms, stochastic gradient descent (SGD) has been intensively developed and extensively applied in machine learning in t…
Navigating A Mobile Robot Using Switching Distributed Sensor Networks
Xingkang He, Ehsan Hashemi, Karl H. Johansson
This paper proposes a method to navigate a mobile robot by estimating its state over a number of distributed sensor networks (DSNs) such that it can successively accomplish a seque…
Event-Triggered Distributed Estimation With Decaying Communication Rate
Xingkang He, Yu Xing, Junfeng Wu +1
We study distributed estimation of a high-dimensional static parameter vector through a group of sensors whose communication network is modeled by a fixed directed graph. Different…
Power Injection Attacks in Smart Distribution Grids with Photovoltaics
Martin Lindström, Hampei Sasahara, Xingkang He +2
In order to protect smart distribution grids from intrusions, it is important to understand possible risks and impacts of attacks. We study the worst-case attack strategy of a powe…
Distributed control under compromised measurements:Resilient estimation, attack detection, and vehicle platooning
Xingkang He, Ehsan Hashemi, Karl H. Johansson
We study how to design a secure observer-based distributed controller such that a group of vehicles can achieve accurate state estimates and formation control even if the measureme…
Secure Platooning of Autonomous Vehicles Under Attacked GPS Data
Xingkang He, Ehsan Hashemi, Karl H. Johansson
In this paper, we study how to secure the platooning of autonomous vehicles when an unknown vehicle is under attack and bounded system uncertainties exist. For the attacked vehicle…