》  Research Fields

control  and optimization, game theory, multiagent systems, distributed optimization,  robotics, unmanned systems， neural networks, artificial intelligence

》  Courses

《An introduction to Optimization》 Undergraduate Course

《Systems  analytics and optimization》 Graduate Course

》  Projects

1、China Association for Science and  Technology  "Young Talents Promotion Project"

2、 Shanghai Young Talents of Science  and Technology  "Sailing Program" project

》  Publications

Paper

Journal paper:

(J1) Peng Yi, Yanqiong  Zhang, Yiguang Hong, “Potential game design for a class of distributed  optimisation problems”, Journal of Control and Decision, Vol. 1,  No. 2, pp. 166-179, May 2014  

(J2) Xinghu Wang,  Peng Yi, Yiguang Hong, “Dynamic optimization for multi-agent systems  with external disturbances”, Control Theory and Technology, Vol. 12,  No. 2, pp. 132-138, May 2014  EI

(J3) Peng Yi, Yiguang  Hong, “Quantized subgradient algorithm and data-rate  analysis for distributed optimization”, IEEE Transactions on Control of Network  Systems, Vol. 1, No. 4,

pp. 380-392, Dec.  2014  SCI  

(J4) Peng Yi, Yiguang  Hong, Feng Liu, “Distributed gradient algorithm for constrained  optimization   with application to load sharing in power systems”,  Systems & Control Letters,

Vol. 83, pp. 43-52,  2015  SCI  

(J5) Peng Yi, Yiguang  Hong, “Stochastic subgradient algorithm for distributed  optimization with random sleep scheme”, Control Theory and Technology, Vol. 13,  No. 4, pp. 333-347,

Nov. 2015

(J6) Peng Yi, Yiguang  Hong, Feng Liu, “Initialization-free distributed algorithms  for optimal resource allocation with feasibility constraints and its  application to economic dispatch

of power systems”,  Automatica, Vol. 74, pp. 259-269, 2016  SCI  查是否   ESI  高被引

(J7) Peng Yi, Yiguang  Hong, “Distributed cooperative optimization and  its applications” (in Chinese), SCIENCE CHINA Mathematics,  Vol. 46, No. 10, pp. 1547-1564, 2016

(J8) Xianlin Zeng,  Peng Yi, Yiguang Hong, “Distributed continuous-time algorithm for  constrained convex optimizations via nonsmooth analysis approach”,  IEEE Transactions on Automatic Control, Vol. 62, No. 10, pp. 5227-5233,  2017  SCI

(J9) Xinghu Wang,  Yiguang Hong, Peng Yi, Haibo Ji, Yu Kang, “Distributed optimization  design of continuous-time multi-agent systems with disturbance rejection”,  IEEE Transactions on Cybernetics,Vol. 47, No. 8, pp.2058-2066, 2017.   SCI

(J10) Shu Liang,  Peng Yi, Yiguang Hong, “Distributed Nash equilibrium seeking for  aggregative games with coupled constraints”, Automatica, Vol. 85, pp. 179-185,2017.    SCI

(J11) Xianlin Zeng,  Peng Yi, Yiguang Hong, “Distributed Algorithm for Robust Resource  Allocation with Polyhedral Uncertain Allocation Parameters”,  Journal of Systems Science

and Complexity, Vol.31  No. 1, pp. 103-119,2018.  SCI

(J12) Youcheng Lou,  Lean Yu, Shouyang Wang, Peng Yi, “Privacy preservation in distributed  subgradient optimization algorithms”, IEEE Transactions on Cybernetics, Vol.  48, No. 7,

5227 - 5233, 2018   SCI

(J13) Peng Yi, Jinlong  Lei, Yiguang Hong, “Distributed resource allocation over random  networks based on stochastic approximation”, Systems & Control Letters, Vol. 114,  pp. 44-

51,2018  SCI

(J14) Yutao Tang,  Peng Yi, “Distributed coordination for a class of non-linear  multi-agent systems with regulation constraints”, IET Control Theory & Applications,  Vol. 12, No. 1,

pp. 1-9, 2018.   SCI

(J15) Peng Yi, Lacra  Pavel, “Distributed generalized Nash equilibria computation  of monotone games via double-layer preconditioned proximal-point algorithms”,  IEEE Transactions on Control of Network Systems, Vol. 6 , No. 1, pp.  299–311,  2019.  SCI

(J16) Xianlin Zeng,  Peng Yi, Yiguang Hong, Lihua Xie, “Continuous-time distributed algorithms  for extended monotropic optimization problems”, SIAM Journal on Control and  Optimization, Vol. 56, No.6, pp. 3973-3993, 2018  SCI

(J17) 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”, Automatica, vol.98, pp:34-41,2018   SCI

(J18) Peng Yi, Lacra  Pavel, “An operator splitting approach for distributed  generalized Nash equilibria computation”, Automatica, vol. 102, pp: 111-121, 2019   SCI

(J19) Peng Yi, Lacra  Pavel, “Asynchronous distributed algorithms for seeking  generalized Nash equilibria under full and partial decision information”,  IEEE Transactions on Cybernetics, Vol. 50, No. 6, pp. 2514–2526,  2020.  SCI

(J20) Peng Yi, ShiNung  Ching, “Multiple time-scale online learning rules  for information

maximization with  energetic constraints”, Neural computation, Vol. 31, No. 5, p.943-979,

2019  SCI

(J21) Hongbing Zhou,  Weiyong Yu, Peng Yi, Yiguang Hong, “Quantized gradient-descent algorithm for  distributed resource allocation”, Unmanned Systems , Vol. 07, No. 02, pp.

119-136, 2019.   SCI

(J22) Jinlong Lei,  Peng Yi, Guodong Shi, and Brian Anderson, “Distributed Algorithms with  Finite Data Rates that Solve Linear Equations.” SIAM Journal on Optimization, vol. 30,

no.2, pp.1191-1222,  2020. SCI

(J23) Peng Yi, and  ShiNung Ching.“Synthesis of recurrent neural dynamics for  monotone inclusion with application to Bayesian inference.” Neural Networks, Vol. 131, pp.231-241,

2020.  SCI

(J24) Shijie Huang,  and Peng Yi. “Distributed best response dynamics for Nash  equilibrium seeking in potential games.” Control Theory and Technology,vol.18, pp.324–332,2020.

(J25) Peng Yi, and  Tongyu Wang. “New directions in distributed Nash equilibrium  seeking based on monotone operator theory”. Control Theory and Technology,vol.18, pp.333–335,

2020.

(J26) Zhaojian Wang,  Laijun Chen, Feng Liu, Peng Yi, Ming Cao, Sicheng Deng, Shengwei Mei.“Asynchronous  Distributed Power Control of Multi-Microgrid Systems”,  IEEE Transactions

on Control of Network  Systems, DOI: 10.1109/TCNS.2020.3018703, 2020.  SCI

27 Zhao, Xiaoxiao,  Peng Yi, and Li Li. "Distributed policy evaluation via inexact  ADMM in multi-agent reinforcement learning." Control Theory and  Technology 18.4 (2020): 362-378.

28 Chen, Guanpu,  Yang Ming, Yiguang Hong, and Peng Yi. "Distributed algorithm for ε-generalized  Nash equilibria with uncertain coupled constraints." Automatica  123 (2021): 109313. SCI

29.Yi, P., &  Li, L. (2020). Distributed Optimization Over Markovian Switching Random  Network. Journal of Systems Science and Complexity,2021.  SCI  

Conference paper:  

(C1) Peng Yi, Xiangru  Xu, Yiguang Hong, “Algebraic analysis and criterion for blocking  detection of multiprocess systems”, 31st Chinese Control Conference (CCC),  pp. 1179-1184,

2012  EI

(C2) Peng Yi, Yanqiong  Zhang, Yiguang Hong, “Design games to solve distributed optimization  problem with application in electric vehicle charge management”,  32nd Chinese

Control Conference  (CCC), pp. 6873-6878, 2013  EI

(C3) Peng Yi, Yiguang  Hong, “Distributed continuous-time gradient-based  algorithm for constrained optimization”, 33rd Chinese Control Conference (CCC),  pp. 1563-1567, 2014  EI

(C4) Xinghu Wang,  Yiguang Hong, Peng Yi, “Distributed optimization of multi-agent systems  with unknown frequency disturbances”, 33rd Chinese Control Conference (CCC),  pp. 1772- 1777, 2014  EI

(C5) Peng Yi, Feng  Liu, Yiguang Hong, “Droop control of microgrids based on distributed  optimization”, 34th Chinese Control Conference (CCC),  pp. 9002-9007, 2015  EI

(C6) Yutao Tang,  Yiguang Hong, Peng Yi, “Distributed optimization design based on  passivity technique”, 12th IEEE International Conference on Control & Automation (ICCA), pp. 732- 737, 2016  EI

(C7) Weiyong Yu,  Peng Yi, Yiguang Hong, “A gradient-based dissipative continuous-time  algorithm for distributed optimization”, 35th Chinese Control Conference (CCC),  pp. 7908-7912, 2016  EI

(C8) Yinghui Wang,  Peng Yi, Yiguang Hong, “Convergence analysis of accelerated distributed  gradient methods with random sleeping scheme”, 35th Chinese Control Conference

(CCC), pp. 8264-8269,  2016  EI

(C9) Shu Liang, Peng  Yi, Yiguang Hong, “Distributed Nash equilibrium seeking of aggregative  games”,  IEEE International Conference on Control & Automation (ICCA), pp.  58-63, 2017.  EI

(C10) Xianlin Zeng,  Peng Yi, Yiguang Hong, “Distributed continuous-time algorithm for  robust resource allocation problems using output feedback”,  IEEE American Control Conference(ACC), pp. 4643-4648, 2017.  EI