@inproceedings{a761c623900c45078d69069ae7248d6d,
title = "Distributed constrained optimization using a projected differential inclusion",
abstract = "This paper designs a distributed algorithm for large-scale constrained optimization problems, where the agents cooperate with each other based on local information and communication information. The objective functions may be nonmsooth and the variable is subject to set constraints. This paper proposes a distributed continuous-time solver based on stability theory and optimization theory. The designed projected differential inclusion has solutions even though it is nonconvex and its convergence to one of solutions to the optimization problem is proved rigorously. The projected differential design may also be applied to other more general optimization problems and the methodology is illustrated through a numerical simulation.",
author = "Xianlin Zeng and Peng Yi and Jie Chen",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018 ; Conference date: 01-08-2018 Through 05-08-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/RCAR.2018.8621846",
language = "English",
series = "2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "337--342",
booktitle = "2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018",
address = "United States",
}