List of English Publication

@article{nokey,

title = {Decentralized Design and Plug-and-Play Distributed Control for Linear Multi-Channel Systems},

author = {Taekyoo Kim and Donggil Lee and Hyungbo Shim},

url = {https://ieeexplore.ieee.org/document/10174243},

doi = {10.1109/TAC.2023.3293036},

issn = {0018-9286},

year  = {2024},

date = {2024-05-01},

urldate = {2023-07-06},

journal = {IEEE Transactions on Automatic Control},

volume = {69},

issue = {5},

pages = {2807 - 2822},

abstract = {We propose a distributed control, in which many identical control agents are deployed for controlling a linear time-invariant plant that has multiple input-output channels. Each control agent can join or leave the control loop during the operation of stabilization without particular initialization over the whole networked agents. Once new control agents join the loop, they self-organize their control dynamics, which does not interfere the control by other active agents, which is achieved by local communication with the neighboring agents. The key idea enabling these features is the use of Bass' algorithm, which allows the distributed computation of stabilizing gains by solving a Lyapunov equation in a distributed manner.},

keywords = {Distributed algorithm, Multi-channel system, Plug-and-play},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Distributed Dynamic Quantile Solver With Plug-and-Play Operation},

author = {Jeong Mo Seong and Jeong Woo Kim and Seungjoon Lee and Hyungbo Shim},

url = {https://ieeexplore.ieee.org/document/9646895},

doi = {10.1109/ACCESS.2021.3134655},

issn = {2169-3536},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {IEEE Access},

volume = {9},

pages = {165517-165525},

abstract = {In this paper, we propose a continuous-time distributed algorithm for the dynamic quantile problem. The problem is to find the quantile of time-varying signals in a network of agents, each of which having the signal of its own. For example, this problem includes finding the median, maximum, or the second largest value of the signals. The proposed algorithm guarantees convergence from arbitrary initial conditions and does not use the decaying gains. Hence our algorithm is suitable for plug-and-play operation, where agents may freely join or leave the network during the operation. An application to a simplified electricity market problem is presented to show the effectiveness of the design.},

keywords = {Blended Dynamics Approach, Distributed algorithm, Multi-agent system},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Simultaneous distributed localization, mapping and formation control of mobile robots based on local relative measurements},

author = {Miao Guo and Bayu Jayawardhana and Jin Gyu Lee and Hyungbo Shim},

url = {https://www.sciencedirect.com/science/article/pii/S2405896320331426},

doi = {https://doi.org/10.1016/j.ifacol.2020.12.2454.},

issn = {2405-8963},

year  = {2020},

date = {2020-07-11},

journal = {IFAC-PapersOnLine},

volume = {53},

issue = {2},

pages = {9614-9620},

abstract = {This paper investigates the problem of localizing a team of robots in an indoor environment while simultaneously keeping a robust formation and performing group motion. A distributed observer is proposed to estimate the positions of mobile robots as well as the landmarks under a common global frame. Every robot uses its available local relative measurements, as well as the estimated relative measurements to its neighbors in order to keep a robust formation. Simultaneously, each robot estimates the positions of all the landmarks based on the available on-board relative measurements but also based on the estimated positions from its neighbors. We provide the L2-stability analysis of the closed-loop system where the group is also allowed to maneuver in the unknown environment. Simulation results are also given to show the efficacy of the method.},

keywords = {Distributed algorithm, Formation control, Multi-agent systems},

pubstate = {published},

tppubtype = {article}

}