[1] 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

[2] 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

[3] Peng Yi, Yiguang Hong, “Quantized subgradient algorithm and data-rate analysis for distributed optimization”, IEEE Transactions on Control ofNetwork Systems, Vol. 1, No. 4, pp. 380-392, Dec. 2014

[4] 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

[5] 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

[6] 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

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

[8] 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

[9] 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.

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

[11] 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.(J12).

[12]  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

[13] Peng Yi, Jinlong Lei, Yiguang Hong, “Distributed resource allocation over random networks based on stochastic approximation”, Systems & Control Letters, Vol. 114, pp. 4451,2018

[14] 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.

[15] Peng Yi, Lacra Pavel, “Distributed generalized Nash equilibria computation of monotone games via double-layer preconditioned proximal-point algorithms”, IEEE Transactions on Control ofNetwork Systems, accepted.

[16] 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

[17] 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

[18] Peng Yi, Lacra Pavel, “An operator splitting approach for distributed generalized Nash equilibria computation”, Automatica, vol. 102, pp: 111-121, 2019

[19] Peng Yi, Lacra Pavel, “Asynchronous distributed algorithms for seeking generalized Nash equilibria under full and partial decision information”, accepted by IEEE Transactions on Cybernetics as regular paper, arXiv:1801.02967, 2019