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Ye Pu
Ye Pu
University of Melbourne
Подтвержден адрес электронной почты в домене unimelb.edu.au - Главная страница
Название
Процитировано
Процитировано
Год
Quantization design for distributed optimization
Y Pu, MN Zeilinger, CN Jones
IEEE Transactions on Automatic Control 62 (5), 2107-2120, 2016
802016
Distributed average consensus with quantization refinement
D Thanou, E Kokiopoulou, Y Pu, P Frossard
IEEE Transactions on Signal Processing 61 (1), 194-205, 2012
782012
Plug and play distributed model predictive control based on distributed invariance and optimization
MN Zeilinger, Y Pu, S Riverso, G Ferrari-Trecate, CN Jones
52nd IEEE conference on decision and control, 5770-5776, 2013
712013
Fastrack: a modular framework for real-time motion planning and guaranteed safe tracking
M Chen, SL Herbert, H Hu, Y Pu, JF Fisac, S Bansal, SJ Han, CJ Tomlin
IEEE Transactions on Automatic Control 66 (12), 5861-5876, 2021
692021
Operator splitting methods in control
G Stathopoulos, H Shukla, A Szucs, Y Pu, CN Jones
Foundations and Trends® in Systems and Control 3 (3), 249-362, 2016
642016
Inexact fast alternating minimization algorithm for distributed model predictive control
Y Pu, MN Zeilinger, CN Jones
53rd IEEE conference on decision and control, 5915-5921, 2014
362014
Plug and play distributed model predictive control for heavy duty vehicle platooning and interaction with passenger vehicles
H Hu, Y Pu, M Chen, CJ Tomlin
2018 IEEE Conference on Decision and Control (CDC), 2803-2809, 2018
332018
Complexity certification of the fast alternating minimization algorithm for linear MPC
Y Pu, MN Zeilinger, CN Jones
IEEE Transactions on Automatic Control 62 (2), 888-893, 2016
302016
A distributed Luenberger observer for linear state feedback systems with quantized and rate-limited communications
FC Rego, Y Pu, A Alessandretti, AP Aguiar, AM Pascoal, CN Jones
IEEE Transactions on Automatic Control 66 (9), 3922-3937, 2020
282020
Fast alternating minimization algorithm for model predictive control
Y Pu, MN Zeilinger, CN Jones
IFAC Proceedings Volumes 47 (3), 11980-11986, 2014
282014
A sequential approximation framework for coded distributed optimization
J Zhu, Y Pu, V Gupta, C Tomlin, K Ramchandran
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
252017
Customized local differential privacy for multi-agent distributed optimization
R Dobbe, Y Pu, J Zhu, K Ramchandran, C Tomlin
arXiv preprint arXiv:1806.06035, 2018
182018
Quantization design for unconstrained distributed optimization
Y Pu, MN Zeilinger, CN Jones
2015 American Control Conference (ACC), 1229-1234, 2015
182015
Splitting methods in control
G Stathopoulos, A Szücs, Y Pu, CN Jones
2014 European Control Conference (ECC), 2478-2483, 2014
162014
Data-driven predictive tracking control based on Koopman operators
Y Wang, Y Yang, Y Pu, C Manzie
arXiv preprint arXiv:2208.12000, 2022
112022
A consensus algorithm for networks with process noise and quantization error
FFC Rego, Y Pu, A Alessandretti, AP Aguiar, CN Jones
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
112015
Design of a distributed quantized luenberger filter for bounded noise
FFC Rego, Y Pu, A Alessandretti, AP Aguiar, AM Pascoal, CN Jones
2016 American Control Conference (ACC), 6393-6398, 2016
10*2016
Quantization design for distributed optimization with time-varying parameters
Y Pu, MN Zeilinger, CN Jones
2015 54th IEEE Conference on Decision and Control (CDC), 2037-2042, 2015
102015
Path following by formations of agents with collision avoidance guarantees using distributed model predictive control
Y Wang, Y Yang, Y Pu, C Manzie
2021 American Control Conference (ACC), 3352-3357, 2021
92021
Local differential privacy for multi-agent distributed optimal power flow
R Dobbe, Y Pu, J Zhu, K Ramchandran, C Tomlin
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 265-269, 2020
82020
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