Junfeng Wu

Orcid: 0000-0002-7125-3748

Affiliations:
  • Zhejiang University, College of Control Science and Engineering, China
  • Royal Institute of Technology, Stockholm, Sweden
  • Hong Kong University of Science and Technology (PhD 2013)


According to our database1, Junfeng Wu authored at least 95 papers between 2011 and 2024.

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Bibliography

2024
Consistent and Asymptotically Efficient Localization From Range- Difference Measurements.
IEEE Trans. Inf. Theory, April, 2024

Plug-and-Play Distributed Estimation of Driving States in an Open Vehicle Platoon.
IEEE Trans. Ind. Informatics, April, 2024

Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation.
CoRR, 2024

Efficient Invariant Kalman Filter for Inertial-based Odometry with Large-sample Environmental Measurements.
CoRR, 2024

2023
Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm.
IEEE Trans. Autom. Control., September, 2023

Errors Dynamics in Affine Group Systems.
CoRR, 2023

On embeddings and inverse embeddings of input design for regularized system identification.
Autom., 2023

Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Planar Pose Estimation via UWB Measurements.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Estimating a scalar log-concave random variable, using a silence set based probabilistic sampling.
Proceedings of the American Control Conference, 2023

2022
Global and Asymptotically Efficient Localization From Range Measurements.
IEEE Trans. Signal Process., 2022

Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis.
IEEE/ACM Trans. Netw., 2022

Small Low-Contrast Target Detection: Data-Driven Spatiotemporal Feature Fusion and Implementation.
IEEE Trans. Cybern., 2022

Low-Complexity Distributed Detection With One-Bit Memory Under Neyman-Pearson Criterion.
IEEE Trans. Control. Netw. Syst., 2022

Joint Sensor and Actuator Placement for Infinite-Horizon LQG Control.
IEEE Trans. Autom. Control., 2022

Event-Triggered Distributed Estimation with Decaying Communication Rate.
SIAM J. Control. Optim., 2022

Closed-Form Error Propagation on $SE_{n}(3)$ Group for Invariant EKF With Applications to VINS.
IEEE Robotics Autom. Lett., 2022

Closed-form Error Propagation on the SE_n(3) Group for Invariant Extended Kalman Filtering with Applications to VINS.
CoRR, 2022

2021
Minimum-Degree Distributed Graph Filter Design.
IEEE Trans. Signal Process., 2021

Multi-Party Dynamic State Estimation That Preserves Data and Model Privacy.
IEEE Trans. Inf. Forensics Secur., 2021

Secure State Estimation Using Hybrid Homomorphic Encryption Scheme.
IEEE Trans. Control. Syst. Technol., 2021

Mean-Field Transmission Power Control in Dense Networks.
IEEE Trans. Control. Netw. Syst., 2021

Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks.
IEEE Trans. Autom. Control., 2021

Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy.
CoRR, 2021

Multi-hop sensor network scheduling for optimal remote estimation.
Autom., 2021

2020
Adaptive Switching Spatial-Temporal Fusion Detection for Remote Flying Drones.
IEEE Trans. Veh. Technol., 2020

An Acoustic-Based Surveillance System for Amateur Drones Detection and Localization.
IEEE Trans. Veh. Technol., 2020

Multiple Attacks Detection in Cyber-Physical Systems Using Random Finite Set Theory.
IEEE Trans. Cybern., 2020

On the Nonexistence of Event Triggers That Preserve Gaussian State in Presence of Packet-Drop.
IEEE Trans. Autom. Control., 2020

Distributed least squares solver for network linear equations.
Autom., 2020

Interval consensus over random networks.
Autom., 2020

Learning Quadratic Games on Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Optimal Design of a Conveyor-Based Automatic Sorting System.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Distributed Optimisation with Stochastic Event-Triggered Multi-Agent Control Algorithm.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Mean-Field Transmission Power Control in Dense Networks, Part I - Characterization of the Equilibrium Strategy.
CoRR, 2019

Event-Triggered Control for Consensus of Multi-Agent Systems with Nonlinear Output and Directed Topologies.
CoRR, 2019

Distributed Parameter Estimation Under Event-triggered Communications.
CoRR, 2019

Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism.
CoRR, 2019

Distributed event-triggered control for global consensus of multi-agent systems with input saturation.
Autom., 2019

A survey of distributed optimization.
Annu. Rev. Control., 2019

A Fast-Beamforming Technique for Blind-Adaptive Wireless Power Transfer towards Free-Flying Insects.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

Steady-state Analysis of a Human-social Behavior Model: a Neural-cognition Perspective.
Proceedings of the 2019 American Control Conference, 2019

Zeno-Free Stochastic Distributed Event-Triggered Consensus Control for Multi-Agent Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Autonomous Vehicle Control Through the Dynamics and Controller Learning.
IEEE Trans. Veh. Technol., 2018

To Hide Private Position Information in Localization Using Time Difference of Arrival.
IEEE Trans. Signal Process., 2018

Boolean Gossip Networks.
IEEE/ACM Trans. Netw., 2018

Kalman Filtering Over Fading Channels: Zero-One Laws and Almost Sure Stabilities.
IEEE Trans. Inf. Theory, 2018

DoS Attack Energy Management Against Remote State Estimation.
IEEE Trans. Control. Netw. Syst., 2018

Kalman Filtering Over Gilbert-Elliott Channels: Stability Conditions and Critical Curve.
IEEE Trans. Autom. Control., 2018

Infinite Horizon Optimal Transmission Power Control for Remote State Estimation Over Fading Channels.
IEEE Trans. Autom. Control., 2018

Privacy-Preserving Gossip Algorithms.
CoRR, 2018

Attack allocation on remote state estimation in multi-systems: Structural results and asymptotic solution.
Autom., 2018

Transmit power control and remote state estimation with sensor networks: A Bayesian inference approach.
Autom., 2018

A Surveillance System for Drone Localization and Tracking Using Acoustic Arrays.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Secure kalman filter state estimation by partially homomorphic encryption.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

Asymptotic and finite-time almost global attitude tracking: representations free approach.
Proceedings of the 16th European Control Conference, 2018

Event-triggered Feedforward Control subject to Actuator Saturation for Disturbance Compensation.
Proceedings of the 16th European Control Conference, 2018

Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Novel Decision Fusion Scheme with Feedback in Neyman-Pearson Detection Systems.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Distributed Optimal Dispatch of Distributed Energy Resources Over Lossy Communication Networks.
IEEE Trans. Smart Grid, 2017

A Distributed Algorithm for Economic Dispatch Over Time-Varying Directed Networks With Delays.
IEEE Trans. Ind. Electron., 2017

On Stochastic Sensor Network Scheduling for Multiple Processes.
IEEE Trans. Autom. Control., 2017

Improved results on transmission power control for remote state estimation.
Syst. Control. Lett., 2017

Distributed control and optimization with resource-constrained networked systems.
Neurocomputing, 2017

Quantum Clique Gossiping.
CoRR, 2017

Optimal sensor scheduling for multiple linear dynamical systems.
Autom., 2017

Wireless sensor network scheduling for remote estimation under energy constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On the modeling of neural cognition for social network applications.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Optimal jamming power allocation against remote state estimation.
Proceedings of the 2017 American Control Conference, 2017

On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop.
Proceedings of the 2017 American Control Conference, 2017

2016
Sampled-Data Consensus Over Random Networks.
IEEE Trans. Signal Process., 2016

An Opportunistic Sensor Scheduling Solution to Remote State Estimation Over Multiple Channels.
IEEE Trans. Signal Process., 2016

Finite-horizon Gaussianity-preserving event-based sensor scheduling in Kalman filter applications.
Autom., 2016

Stochastic sensor scheduling for multiple dynamical processes over a shared channel.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource.
IEEE Trans. Signal Process., 2015

Optimal Parameter Estimation Under Controlled Communication Over Sensor Networks.
IEEE Trans. Signal Process., 2015

Stochastic Event-Triggered Sensor Schedule for Remote State Estimation.
IEEE Trans. Autom. Control., 2015

An improved stability condition for Kalman filtering with bounded Markovian packet losses.
Autom., 2015

Data-driven power control for state estimation: A Bayesian inference approach.
Autom., 2015

Critical sampling rate for sampled-data consensus over random networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic packet scheduling for optimal parameter estimation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
A Stochastic Online Sensor Scheduler for Remote State Estimation With Time-Out Condition.
IEEE Trans. Autom. Control., 2014

Peak Covariance Stability of Kalman Filtering with Markovian Packet Losses.
Proceedings of the 2014 IEEE International Conference on Cyber-Physical Systems, 2014

Probabilistic convergence of Kalman filtering with nonstationary intermittent observations.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Schedule Communication for Decentralized State Estimation.
IEEE Trans. Signal Process., 2013

How Can Online Schedules Improve Communication and Estimation Tradeoff?
IEEE Trans. Signal Process., 2013

Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality.
IEEE Trans. Autom. Control., 2013

Stochastic online sensor scheduler for remote state estimation.
Proceedings of the 1st IEEE International Conference on Cyber-Physical Systems, 2013

Stochastic event-triggered sensor scheduling for remote state estimation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Communication scheduling for decentralized state estimation.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

An improved hybrid sensor schedule for remote state estimation under limited communication resources.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
An innovative packet-splitting approach for kalman filtering over lossy networks.
Proceedings of the American Control Conference, 2011


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