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ORCIDPeng Yi 0001
Person information
- affiliation: Tongji University, Department of Control Science and Engineering, Shanghai, China
- affiliation (2017 - 2019): Washington University, Department of Electrical and Systems Engineering, St. Louis, USA
- affiliation (2016 - 2017): University of Toronto, Department of Electrical and Computer Engineering, ON, Canada
- affiliation (PhD 2016): Academy of Mathematics and Systems Science, Beijing, China
Other persons with the same name
- Peng Yi — disambiguation page
- Peng Yi 0002
![[0000-0001-9366-951X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9366-951X")
— Wuhan University, National Engineering Research Center for Multimedia Software, School of Computer Science, China (and 1 more) - Peng Yi 0003 — National Digital Switching System Engineering and Technological Research Center, Henan, China
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Journal Articles
- 2024
[j39]Tongyu Wang, Peng Yi, Jie Chen:
Distributed mirror descent method with operator extrapolation for stochastic aggregative games. Autom. 159: 111356 (2024)- [j38]Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong:
No-regret learning for repeated non-cooperative games with lossy bandits. Autom. 160: 111455 (2024) - [j37]Yahui Zhang, Peng Yi, Yiguang Hong:
Cooperative Safe Trajectory Planning for Quadrotor Swarms. Sensors 24(2): 707 (2024) - [j36]Guanpu Chen, Peng Yi, Yiguang Hong, Jie Chen:
Distributed Optimization With Projection-Free Dynamics: A Frank-Wolfe Perspective. IEEE Trans. Cybern. 54(1): 599-610 (2024) - [j35]Rui Yu, Yutao Tang, Peng Yi, Li Li:
Distributed Nash Equilibrium Seeking Dynamics With Discrete Communication. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4347-4353 (2024) - [j34]Yue Chen, Peng Yi:
Multi-Cluster Aggregative Games: A Linearly Convergent Nash Equilibrium Seeking Algorithm and Its Applications in Energy Management. IEEE Trans. Netw. Sci. Eng. 11(3): 2797-2809 (2024) - 2023
- [j33]Yue Chen, Peng Yi:
Generalized multi-cluster game under partial-decision information with applications to management of energy internet. J. Frankl. Inst. 360(5): 3849-3878 (2023) - [j32]Peng Yi, Jinlong Lei, Jie Chen, Yiguang Hong, Guodong Shi:
Distributed Linear Equations Over Random Networks. IEEE Trans. Autom. Control. 68(4): 2607-2614 (2023) - [j31]Jiehan Liu, Peng Yi:
Predefined-Time Distributed Nash Equilibrium Seeking for Noncooperative Games With Event-Triggered Communication. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3434-3438 (2023) - [j30]Yutao Tang, Peng Yi:
Nash Equilibrium Seeking for High-Order Multiagent Systems With Unknown Dynamics. IEEE Trans. Control. Netw. Syst. 10(1): 321-332 (2023) - [j29]Ziqin Chen, Peng Yi, Li Li, Yiguang Hong:
Distributed Time-Varying Convex Optimization With Dynamic Quantization. IEEE Trans. Cybern. 53(2): 1078-1092 (2023) - 2022
- [j28]Shu Liang, Peng Yi, Yiguang Hong, Kaixiang Peng:
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games. Auton. Intell. Syst. 2(1): 1-8 (2022) - [j27]Yutao Tang, Peng Yi, Yanqiong Zhang, Dawei Liu:
Nash equilibrium seeking over directed graphs. Auton. Intell. Syst. 2(1): 1-8 (2022) - [j26]Xiaojie Tian, Peng Yi, Fu Zhang, Jinlong Lei, Yiguang Hong:
STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment. Sensors 22(22): 8604 (2022) - [j25]Jiahu Qin, Qichao Ma, Peng Yi, Long Wang:
Multiagent Interval Consensus With Flocking Dynamics. IEEE Trans. Autom. Control. 67(8): 3965-3980 (2022) - [j24]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes. IEEE Trans. Autom. Control. 67(10): 5630-5637 (2022) - 2021
- [j23]Guanpu Chen, Yang Ming, Yiguang Hong, Peng Yi:
Distributed algorithm for ε-generalized Nash equilibria with uncertain coupled constraints. Autom. 123: 109313 (2021) - [j22]Peng Yi, Li Li:
Distributed Nonsmooth Convex Optimization over Markovian Switching Random Networks with Two Step-Sizes. J. Syst. Sci. Complex. 34(4): 1324-1344 (2021) - [j21]Xiaoyu Ma, Peng Yi, Jie Chen:
Distributed Gradient Tracking Methods with Finite Data Rates. J. Syst. Sci. Complex. 34(5): 1927-1952 (2021) - 2020
- [j20]Peng Yi, ShiNung Ching:
Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference. Neural Networks 131: 231-241 (2020) - [j19]Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson:
Distributed Algorithms with Finite Data Rates that Solve Linear Equations. SIAM J. Optim. 30(2): 1191-1222 (2020) - [j18]Zhaojian Wang, Laijun Chen, Feng Liu, Peng Yi, Ming Cao, Sicheng Deng, Shengwei Mei:
Asynchronous Distributed Power Control of Multimicrogrid Systems. IEEE Trans. Control. Netw. Syst. 7(4): 1960-1973 (2020) - [j17]Peng Yi, Lacra Pavel:
Asynchronous Distributed Algorithms for Seeking Generalized Nash Equilibria Under Full and Partial-Decision Information. IEEE Trans. Cybern. 50(6): 2514-2526 (2020) - 2019
- [j16]Peng Yi, Lacra Pavel:
An operator splitting approach for distributed generalized Nash equilibria computation. Autom. 102: 111-121 (2019) - [j15]Peng Yi, ShiNung Ching:
Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints. Neural Comput. 31(5): 943-979 (2019) - [j14]Peng Yi, Lacra Pavel:
Distributed Generalized Nash Equilibria Computation of Monotone Games via Double-Layer Preconditioned Proximal-Point Algorithms. IEEE Trans. Control. Netw. Syst. 6(1): 299-311 (2019) - [j13]Hongbing Zhou, Weiyong Yu, Peng Yi, Yiguang Hong:
Quantized Gradient-Descent Algorithm for Distributed Resource Allocation. Unmanned Syst. 7(2): 119-136 (2019) - 2018
- [j12]Han Zhang, Jieqiang Wei, Peng Yi, Xiaoming Hu:
Projected primal-dual gradient flow of augmented Lagrangian with application to distributed maximization of the algebraic connectivity of a network. Autom. 98: 34-41 (2018) - [j11]Xianlin Zeng, Peng Yi, Yiguang Hong:
Distributed Algorithm for Robust Resource Allocation with Polyhedral Uncertain Allocation Parameters. J. Syst. Sci. Complex. 31(1): 103-119 (2018) - [j10]Peng Yi, Jinlong Lei, Yiguang Hong:
Distributed resource allocation over random networks based on stochastic approximation. Syst. Control. Lett. 114: 44-51 (2018) - [j9]Xianlin Zeng, Peng Yi, Yiguang Hong, Lihua Xie:
Distributed Continuous-Time Algorithms for Nonsmooth Extended Monotropic Optimization Problems. SIAM J. Control. Optim. 56(6): 3973-3993 (2018) - [j8]Youcheng Lou, Lean Yu, Shouyang Wang, Peng Yi:
Privacy Preservation in Distributed Subgradient Optimization Algorithms. IEEE Trans. Cybern. 48(7): 2154-2165 (2018) - 2017
- [j7]Shu Liang, Peng Yi, Yiguang Hong:
Distributed Nash equilibrium seeking for aggregative games with coupled constraints. Autom. 85: 179-185 (2017) - [j6]Xianlin Zeng, Peng Yi, Yiguang Hong:
Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach. IEEE Trans. Autom. Control. 62(10): 5227-5233 (2017) - [j5]Xinghu Wang, Yiguang Hong, Peng Yi, Haibo Ji, Yu Kang:
Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances. IEEE Trans. Cybern. 47(8): 2058-2066 (2017) - 2016
- [j4]Peng Yi, Yiguang Hong, Feng Liu:
Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems. Autom. 74: 259-269 (2016) - 2015
- [j3]Peng Yi, Yiguang Hong, Feng Liu:
Distributed gradient algorithm for constrained optimization with application to load sharing in power systems. Syst. Control. Lett. 83: 45-52 (2015) - 2014
- [j2]Peng Yi, Yanqiong Zhang, Yiguang Hong:
Potential game design for a class of distributed optimisation problems. J. Control. Decis. 1(2): 166-179 (2014) - [j1]Peng Yi, Yiguang Hong:
Quantized Subgradient Algorithm and Data-Rate Analysis for Distributed Optimization. IEEE Trans. Control. Netw. Syst. 1(4): 380-392 (2014)
Conference and Workshop Papers
- 2023
- [c14]Dixiao Wei, Peng Yi, Jinlong Lei:
Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs. CDC 2023: 6242-6248 - 2021
- [c13]Wenting Liu, Jinlong Lei, Peng Yi:
No-regret learning for repeated concave games with lossy bandits. CDC 2021: 936-941 - 2020
- [c12]Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi:
Projection Consensus for Solving Linear Equations over Random Networks. CDC 2020: 6144-6149 - [c11]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. ECC 2020: 1250-1255 - [c10]Peng Yi, Li Li:
Distributed Optimization Over Markovian Switching Random Network. ICCA 2020: 666-670 - [c9]Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi:
Online Convex Optimization Over Erdos-Renyi Random Networks. NeurIPS 2020 - 2019
- [c8]Elham Ghazizadeh, Peng Yi, ShiNung Ching:
Defining information-based functional objectives for neurostimulation and control. ACC 2019: 866-871 - 2018
- [c7]Peng Yi, Lacra Pavel:
Distributed seeking for generalized Nash equilibria of monotone games via preconditioned proximal algorithms. ACC 2018: 4434-4439 - [c6]Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson:
Network Linear Equations with Finite Data Rates. CDC 2018: 3373-3378 - [c5]Peng Yi, Lacra Pavel:
Asynchronous distributed algorithm for seeking generalized Nash equilibria. ECC 2018: 2164-2169 - 2017
- [c4]Xianlin Zeng, Peng Yi, Yiguang Hong:
Distributed continuous-time algorithm for robust resource allocation problems using output feedback. ACC 2017: 4643-4648 - [c3]Peng Yi, Lacra Pavel:
A distributed primal-dual algorithm for computation of generalized Nash equilibria via operator splitting methods. CDC 2017: 3841-3846 - [c2]Shu Liang, Peng Yi, Yiguang Hong:
Distributed Nash equilibrium seeking of a class of aggregative games. ICCA 2017: 58-63 - 2016
- [c1]Yutao Tang, Yiguang Hong, Peng Yi:
Distributed optimization design based on passivity technique. ICCA 2016: 732-737
Informal and Other Publications
- 2024
- [i8]Cunhao Li, Peng Yi, Guanghui Guo, Yiguang Hong:
Distributed Pose-graph Optimization with Multi-level Partitioning for Collaborative SLAM. CoRR abs/2401.01657 (2024) - 2022
- [i7]Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong:
No-regret learning for repeated non-cooperative games with lossy bandits. CoRR abs/2205.06968 (2022) - [i6]Xiaoyu Ma, Jinlong Lei, Peng Yi, Jie Chen:
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games. CoRR abs/2205.06979 (2022) - 2021
- [i5]Yutao Tang, Peng Yi:
Nash Equilibrium Seeking for High-order Multi-agent Systems with Unknown Dynamics. CoRR abs/2101.02883 (2021) - 2020
- [i4]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. CoRR abs/2002.03269 (2020) - [i3]Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi:
Distributed Linear Equations over Random Networks. CoRR abs/2008.09795 (2020) - 2017
- [i2]Yutao Tang, Peng Yi:
Distributed Resource Allocation Over a Class of Nonlinear Multi-agent Systems. CoRR abs/1702.01399 (2017) - [i1]Peng Yi, Lacra Pavel:
A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods. CoRR abs/1703.05388 (2017)
Coauthor Index
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