Ye Pu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Motion Planning

Alternating Minimization

Model Predictive Control

Trajectory Planning

Top Venues

IEEE Trans. Autom. Control.

Publications

Xiaoli Li, Jinyun Fu, Mingliang Liu, Yangmengfei Xu, Ying Tan, Yangbin Xin, Ye Pu, Denny Oetomo
A Geometry-Based Distributed Connectivity Maintenance Algorithm for Discrete-time Multi-Agent Systems with Visual Sensing Constraints. Unmanned Syst. 12 (2) (2024)
Yujia Yang, Chris Manzie, Ye Pu
A Control Barrier Function Composition Approach for Multi-Agent Systems in Marine Applications. CoRR (2024)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. CoRR (2023)
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
Sub-Optimal MPC With Dynamic Constraint Tightening. IEEE Control. Syst. Lett. 7 (2023)
Lei Qin, Michael Cantoni, Ye Pu
Second-Order Properties of Noisy Distributed Gradient Descent. CDC (2023)
Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen
Task-Oriented Koopman-Based Control with Contrastive Encoder. CoRR (2023)
Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen
Task-Oriented Koopman-Based Control with Contrastive Encoder. CoRL (2023)
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
Knowledge Distillation for Feature Extraction in Underwater VSLAM. ICRA (2023)
Yujia Yang, Chris Manzie, Ye Pu
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems. IEEE Control. Syst. Lett. 7 (2023)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints. CDC (2023)
Yujia Yang, Chris Manzie, Ye Pu
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems. CoRR (2023)
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
Knowledge Distillation for Feature Extraction in Underwater VSLAM. CoRR (2023)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints. IEEE Control. Syst. Lett. 7 (2023)
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
Robust Tracking Model Predictive Control with Koopman Operators. CCTA (2022)
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees. ANZCC (2022)
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels. CoRR (2022)
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
Data-driven Predictive Tracking Control based on Koopman Operators. CoRR (2022)
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints. CoRR (2022)
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates. CoRR (2022)
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
Path Following by Formations of Agents with Collision Avoidance Guarantees using Distributed Model Predictive Control. ACC (2021)
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, António M. Pascoal, Colin N. Jones
A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications. IEEE Trans. Autom. Control. 66 (9) (2021)
Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime Fernández Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. IEEE Trans. Autom. Control. 66 (12) (2021)
Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. CoRR (2021)
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates. ACC (2021)
Xubo Lyu, Site Li, Seth Siriya, Ye Pu, Mo Chen
MBB: Model-Based Baseline for Efficient Reinforcement Learning. CoRR (2020)
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates. CoRR (2020)
Seth Siriya, Minh Bui, Arrvindh Shriraman, Mo Chen, Ye Pu
Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves. CDC (2020)
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow. ISGT-Europe (2020)
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees. CoRR (2020)
Ye Pu
Differential Privacy for Distributed Consensus with Partial Observations. ICCA (2020)
Laura Ferranti, Ye Pu, Colin N. Jones, Tamás Keviczky
SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications. IEEE Trans. Autom. Control. 64 (5) (2019)
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
Customized Local Differential Privacy for Multi-Agent Distributed Optimization. CoRR (2018)
Ye Pu, Jingge Zhu, Karl Henrik Johansson, Kannan Ramchandran, Claire J. Tomlin
Coded Control over Lossy Networks. ACC (2018)
Haimin Hu, Ye Pu, Mo Chen, Claire J. Tomlin
Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles. CDC (2018)
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
A sequential approximation framework for coded distributed optimization. Allerton (2017)
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
A Sequential Approximation Framework for Coded Distributed Optimization. CoRR (2017)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Quantization Design for Distributed Optimization. IEEE Trans. Autom. Control. 62 (5) (2017)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC. IEEE Trans. Autom. Control. 62 (2) (2017)
Laura Ferranti, Ye Pu, Colin N. Jones, Tamás Keviczky
Asynchronous splitting design for Model Predictive Control. CDC (2016)
Hong Guo, Aiqing Zhang, Zeyao Mo, Ye Pu
A Scalable, Parallel Module for Overlapping Grids and Its Applications. BigDataSecurity/HPSC/IDS (2016)
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, António M. Pascoal, Colin N. Jones
Design of a distributed quantized luenberger filter for bounded noise. ACC (2016)
Giorgos Stathopoulos, Harsh Shukla, Alexander Szucs, Ye Pu, Colin N. Jones
Operator Splitting Methods in Control. Found. Trends Syst. Control. 3 (3) (2016)
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, Colin N. Jones
A consensus algorithm for networks with process noise and quantization error. Allerton (2015)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Quantization Design for Distributed Optimization. CoRR (2015)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Quantization design for distributed optimization with time-varying parameters. CDC (2015)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Quantization design for unconstrained distributed optimization. ACC (2015)
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
Inexact fast alternating minimization algorithm for distributed model predictive control. CDC (2014)
Giorgos Stathopoulos, Alexander Szucs, Ye Pu, Colin N. Jones
Splitting methods in control. ECC (2014)
Melanie Nicole Zeilinger, Ye Pu, Stefano Riverso, Giancarlo Ferrari-Trecate, Colin N. Jones
Plug and play distributed model predictive control based on distributed invariance and optimization. CDC (2013)
Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard
Distributed Average Consensus With Quantization Refinement. IEEE Trans. Signal Process. 61 (1) (2013)