Plug and play distributed model predictive control based on distributed invariance and optimization. - Melanie Nicole Zeilinger; Ye Pu; Stefano Riverso; Giancarlo Ferrari-Trecate; Colin N. Jones (CDC, 2013)

Distributed Average Consensus With Quantization Refinement. - Dorina Thanou; Effrosini Kokiopoulou; Ye Pu; Pascal Frossard (IEEE Trans. Signal Process., 2013)

Inexact fast alternating minimization algorithm for distributed model predictive control. - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (CDC, 2014)

Splitting methods in control. - Giorgos Stathopoulos; Alexander Szucs; Ye Pu; Colin N. Jones (ECC, 2014)

A consensus algorithm for networks with process noise and quantization error. - Francisco F. C. Rego; Ye Pu; Andrea Alessandretti; A. Pedro Aguiar; Colin N. Jones (Allerton, 2015)

Quantization design for unconstrained distributed optimization. - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (ACC, 2015)

Quantization design for distributed optimization with time-varying parameters. - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (CDC, 2015)

Design of a distributed quantized luenberger filter for bounded noise. - Francisco F. C. Rego; Ye Pu; Andrea Alessandretti; A. Pedro Aguiar; António M. Pascoal; Colin N. Jones (ACC, 2016)

A Scalable, Parallel Module for Overlapping Grids and Its Applications. - Hong Guo; Aiqing Zhang; Zeyao Mo; Ye Pu (BigDataSecurity/HPSC/IDS, 2016)

Asynchronous splitting design for Model Predictive Control. - Laura Ferranti; Ye Pu; Colin N. Jones; Tamás Keviczky (CDC, 2016)

Operator Splitting Methods in Control. - Giorgos Stathopoulos; Harsh Shukla; Alexander Szucs; Ye Pu; Colin N. Jones (Found. Trends Syst. Control., 2016)

A sequential approximation framework for coded distributed optimization. - Jingge Zhu; Ye Pu; Vipul Gupta; Claire J. Tomlin; Kannan Ramchandran (Allerton, 2017)

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC. - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (IEEE Trans. Autom. Control., 2017)

Quantization Design for Distributed Optimization. - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (IEEE Trans. Autom. Control., 2017)

Coded Control over Lossy Networks. - Ye Pu; Jingge Zhu; Karl Henrik Johansson; Kannan Ramchandran; Claire J. Tomlin (ACC, 2018)

Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles. - Haimin Hu; Ye Pu; Mo Chen 001; Claire J. Tomlin (CDC, 2018)

Customized Local Differential Privacy for Multi-Agent Distributed Optimization. - Roel Dobbe; Ye Pu; Jingge Zhu; Kannan Ramchandran; Claire J. Tomlin (CoRR, 2018)

SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications. - Laura Ferranti; Ye Pu; Colin N. Jones; Tamás Keviczky (IEEE Trans. Autom. Control., 2019)

Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves. - Seth Siriya; Minh Bui; Arrvindh Shriraman; Mo Chen 001; Ye Pu (CDC, 2020)

Differential Privacy for Distributed Consensus with Partial Observations. - Ye Pu (ICCA, 2020)

Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow. - Roel Dobbe; Ye Pu; Jingge Zhu; Kannan Ramchandran; Claire J. Tomlin (ISGT-Europe, 2020)

MBB: Model-Based Baseline for Efficient Reinforcement Learning. - Xubo Lyu; Site Li; Seth Siriya; Ye Pu; Mo Chen 001 (CoRR, 2020)

Path Following by Formations of Agents with Collision Avoidance Guarantees using Distributed Model Predictive Control. - Ye Wang 005; Yujia Yang; Ye Pu; Chris Manzie (ACC, 2021)

Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates. - Yujia Yang; Ye Wang 005; Chris Manzie; Ye Pu (ACC, 2021)

FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. - Mo Chen 001; Sylvia L. Herbert; Haimin Hu; Ye Pu; Jaime Fernández Fisac; Somil Bansal; SooJean Han; Claire J. Tomlin (IEEE Trans. Autom. Control., 2021)

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications. - Francisco F. C. Rego; Ye Pu; Andrea Alessandretti; A. Pedro Aguiar; António M. Pascoal; Colin N. Jones (IEEE Trans. Autom. Control., 2021)

Trajectory planning for multiple autonomous underwater vehicles with safety guarantees. - Shuhao Zhang 004; Yujia Yang; Seth Siriya; Ye Pu (ANZCC, 2022)

Robust Tracking Model Predictive Control with Koopman Operators. - Ye Wang 005; Yujia Yang; Ye Pu; Chris Manzie (CCTA, 2022)

Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels. - Shuhao Zhang 004; Yujia Yang; Seth Siriya; Ye Pu (CoRR, 2022)

Data-driven Predictive Tracking Control based on Koopman Operators. - Ye Wang 005; Yujia Yang; Ye Pu; Chris Manzie (CoRR, 2022)

Second-Order Properties of Noisy Distributed Gradient Descent. - Lei Qin; Michael Cantoni; Ye Pu (CDC, 2023)

Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. - Seth Siriya; Jingge Zhu; Dragan Nesic; Ye Pu (CDC, 2023)

Task-Oriented Koopman-Based Control with Contrastive Encoder. - Xubo Lyu; Hanyang Hu; Seth Siriya; Ye Pu; Mo Chen 001 (CoRL, 2023)

Knowledge Distillation for Feature Extraction in Underwater VSLAM. - Jinghe Yang; Mingming Gong; Girish Nair; Jung Hoon Lee; Jason Monty; Ye Pu (ICRA, 2023)

Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints. - Seth Siriya; Jingge Zhu; Dragan Nesic; Ye Pu (IEEE Control. Syst. Lett., 2023)

Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems. - Yujia Yang; Chris Manzie; Ye Pu (IEEE Control. Syst. Lett., 2023)

Sub-Optimal MPC With Dynamic Constraint Tightening. - Yujia Yang; Ye Wang 005; Chris Manzie; Ye Pu (IEEE Control. Syst. Lett., 2023)

Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation. - Jinghe Yang; Mingming Gong; Ye Pu (ECCV (71), 2024)

A Control Barrier Function Composition Approach for Multi-Agent Systems in Marine Applications. - Yujia Yang; Chris Manzie; Ye Pu (CoRR, 2024)

Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems. - Seth Siriya; Mo Chen 001; Ye Pu (CoRR, 2024)

Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems. - Seth Siriya; Jingge Zhu; Dragan Nesic; Ye Pu (CoRR, 2024)

A Geometry-Based Distributed Connectivity Maintenance Algorithm for Discrete-time Multi-Agent Systems with Visual Sensing Constraints. - Xiaoli Li; Jinyun Fu; Mingliang Liu; Yangmengfei Xu; Ying Tan 001; Yangbin Xin; Ye Pu; Denny Oetomo (Unmanned Syst., 2024)

On Active Disturbance Rejection Control for Unmanned Tracked Ground Vehicles with Nonsmooth Disturbances. - Mingliang Liu; Yangmengfei Xu; Xuteng Lin; Ying Tan 001; Ye Pu; Wen Li; Denny Oetomo (Unmanned Syst., 2024)

Supporting Human-to-Machine Applications in Next-Gen Optical Access Networks through Explainable AI. - Yuxiao Wang; Sourav Mondal; Ye Pu; Elaine Wong 001 (OFC, 2025)

Convergence Analysis of EXTRA in Non-Convex Distributed Optimization. - Lei Qin; Ye Pu (IEEE Control. Syst. Lett., 2025)

Koopman-based predictive tracking control. - Ye Wang 005; Yujia Yang; Ye Pu; Chris Manzie (Eng. Appl. Artif. Intell., 2025)

Explainable AI-assisted low-latency haptic feedback prediction for human-to-machine applications over passive optical networks. - Yuxiao Wang; Sourav Mondal; Ye Pu; Elaine Wong 001 (J. Opt. Commun. Netw., 2025)

Real-Time Distributed Model Predictive Control With Limited Communication Data Rates. - Yujia Yang; Ye Wang 005; Chris Manzie; Ye Pu (IEEE Trans. Autom. Control., 2025)

Toward Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems. - Seth Siriya; Mo Chen 001; Ye Pu (IEEE Trans. Autom. Control., 2025)

Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images. - Jinghe Yang; Mingming Gong; Ye Pu (IEEE Robotics Autom. Lett., 2025)