15 citations · 43 across the 21 of their papers we have counts for
23 papers
A Sample-Based Algorithm for Approximately Testing -Robustness of a Digraph
Yuhao Yi, Yuan Wang, Xingkang He +2
One of the intensely studied concepts of network robustness is -robustness, which is a network topology property quantified by an integer . It is required by mean subsequence…
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…
Identification of Linear Systems with Multiplicative Noise from Multiple Trajectory Data
Yu Xing, Benjamin Gravell, Xingkang He +2
The paper studies identification of linear systems with multiplicative noise from multiple-trajectory data. An algorithm based on the least-squares method and multiple-trajectory d…
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…
Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics
Yu Xing, Xingkang He, Haitao Fang +1
We study how to jointly recover the community structure and estimate the interaction probabilities of gossip opinion dynamics. In this process, agents randomly interact pairwise, a…
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…
Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption
Amr Alanwar, Victor Gassmann, Xingkang He +4
The set-based estimation has gained a lot of attention due to its ability to guarantee state enclosures for safety-critical systems. However, collecting measurements from distribut…
How to Secure Distributed Filters Under Sensor Attacks
Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1
We study how to secure distributed filters for linear time-invariant systems with bounded noise under false-data injection attacks. A malicious attacker is able to arbitrarily mani…
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…
Community Detection for Gossip Dynamics with Stubborn Agents
Yu Xing, Xingkang He, Haitao Fang +1
We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a bloc…
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data
Yu Xing, Ben Gravell, Xingkang He +2
The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control…
Recursive Network Estimation From Binary-Valued Observation Data
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…
Distributed Design of Robust Kalman Filters over Corrupted Channels
Xingkang He, Karl Henrik Johansson, Haitao Fang
We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through…
Network Weight Estimation for Binary-Valued Observation Models
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the estimation of network weights for a class of systems with binary-valued observations. In these systems only quantized observations are available for the netw…
Secure distributed filtering for unstable dynamics under compromised observations
Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1
In this paper, we consider a secure distributed filtering problem for linear time-invariant systems with bounded noises and unstable dynamics under compromised observations. A mali…
Distributed Parameter Estimation Under Event-triggered Communications
Xingkang He, Qian Liu, Junfeng Wu +1
In this paper, we study a distributed parameter estimation problem with an asynchronous communication protocol over multi-agent systems. Different from traditional time-driven comm…
Asymptotic Properties of Distributed Social Sampling Algorithm
Qian Liu, Xingkang He, Haitao Fang
Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, ea…
Distributed Filtering for Uncertain Systems Under Switching Sensor Networks and Quantized Communications
Xingkang He, Wenchao Xue, Xiaocheng Zhang +1
This paper considers the distributed filtering problem for a class of stochastic uncertain systems under quantized data flowing over switching sensor networks. Employing the biased…
Distributed Kalman Filter for A Class of Nonlinear Uncertain Systems: An Extended State Method
Xingkang He, Xiaocheng Zhang, Wenchao Xue +1
This paper studies the distributed state estimation problem for a class of discrete-time stochastic systems with nonlinear uncertain dynamics over time-varying topologies of sensor…
Consistent distributed state estimation with global observability over sensor network
Xingkang He, Wenchao Xue, Haitao Fang
This paper studies the distributed state estimation problem for a class of discrete time-varying systems over sensor networks. Firstly, it is shown that a networked Kalman filter w…
Distributed Kalman Filters with State Equality Constraints: Time-based and Event-triggered Communications
Xingkang He, Chen Hu, Yiguang Hong +2
In this paper, we investigate a distributed estimation problem for multi-agent systems with state equality constraints (SEC). First, under a time-based consensus communication prot…