Ye Pu

Orcid: 0000-0001-5924-0859

According to our database1, Ye Pu authored at least 40 papers between 2013 and 2024.

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Bibliography

2024
A Geometry-Based Distributed Connectivity Maintenance Algorithm for Discrete-time Multi-Agent Systems with Visual Sensing Constraints.
Unmanned Syst., March, 2024

A Control Barrier Function Composition Approach for Multi-Agent Systems in Marine Applications.
CoRR, 2024

2023
Sub-Optimal MPC With Dynamic Constraint Tightening.
IEEE Control. Syst. Lett., 2023

Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems.
IEEE Control. Syst. Lett., 2023

Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints.
IEEE Control. Syst. Lett., 2023

Knowledge Distillation for Feature Extraction in Underwater VSLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Task-Oriented Koopman-Based Control with Contrastive Encoder.
Proceedings of the Conference on Robot Learning, 2023

Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Second-Order Properties of Noisy Distributed Gradient Descent.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates.
CoRR, 2022

Data-driven Predictive Tracking Control based on Koopman Operators.
CoRR, 2022

Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels.
CoRR, 2022

Robust Tracking Model Predictive Control with Koopman Operators.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Trajectory planning for multiple autonomous underwater vehicles with safety guarantees.
Proceedings of the Australian & New Zealand Control Conference, 2022

2021
A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications.
IEEE Trans. Autom. Control., 2021

FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
IEEE Trans. Autom. Control., 2021

Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates.
Proceedings of the 2021 American Control Conference, 2021

Path Following by Formations of Agents with Collision Avoidance Guarantees using Distributed Model Predictive Control.
Proceedings of the 2021 American Control Conference, 2021

2020
MBB: Model-Based Baseline for Efficient Reinforcement Learning.
CoRR, 2020

Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Differential Privacy for Distributed Consensus with Partial Observations.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications.
IEEE Trans. Autom. Control., 2019

2018
Customized Local Differential Privacy for Multi-Agent Distributed Optimization.
CoRR, 2018

Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Coded Control over Lossy Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Quantization Design for Distributed Optimization.
IEEE Trans. Autom. Control., 2017

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC.
IEEE Trans. Autom. Control., 2017

A sequential approximation framework for coded distributed optimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Operator Splitting Methods in Control.
Found. Trends Syst. Control., 2016

Asynchronous splitting design for Model Predictive Control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A Scalable, Parallel Module for Overlapping Grids and Its Applications.
Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016

Design of a distributed quantized luenberger filter for bounded noise.
Proceedings of the 2016 American Control Conference, 2016

2015
Quantization design for distributed optimization with time-varying parameters.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quantization design for unconstrained distributed optimization.
Proceedings of the American Control Conference, 2015

A consensus algorithm for networks with process noise and quantization error.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Splitting methods in control.
Proceedings of the 13th European Control Conference, 2014

Inexact fast alternating minimization algorithm for distributed model predictive control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Distributed Average Consensus With Quantization Refinement.
IEEE Trans. Signal Process., 2013

Plug and play distributed model predictive control based on distributed invariance and optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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