List of English Publication

@inproceedings{nokey,

title = {Multi-agent Target Position Estimation Using Bearing-only Measurments via Spatial Excitation},

author = {Soojeong Hyeon and Iman Shames and Hyungbo Shim},

url = {https://ieeexplore.ieee.org/abstract/document/10644598},

doi = {10.23919/ACC60939.2024.10644598},

isbn = {979-8-3503-8265-5},

year  = {2024},

date = {2024-07-10},

urldate = {2024-07-10},

booktitle = {2024 American Control Conference},

pages = {548-553},

publisher = {IEEE},

abstract = {This paper solves the problem of estimating a single target position by a group of agents in two-dimensional space. Each agent is assumed to know its own position and to measure only the bearing to the target. We develop a distributed estimation scheme that processes individual bearing measurements by utilizing continuous-time dynamics with communication among the agents. Under the assumption of connectivity on the communication graph, it is shown that, even if each bearing measurement does not satisfy the persistency of excitation condition, each agent is able to estimate the target position provided that the agents are properly positioned. We examine this condition in terms of spatial excitation and its relationship with geometric configuration of the agents. Additionally, we analyze the convergence rate of the estimation error. Simulation results are provided to illustrate the performance of the proposed estimator.},

keywords = {Multi-agent system, Networked control system},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Distributed Resilient Observer: Blended Dynamics Theory Meets L1-Minimization Approach},

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

url = {https://ieeexplore.ieee.org/abstract/document/10147254},

doi = {10.1109/LCSYS.2023.3284592},

year  = {2023},

date = {2023-12-13},

urldate = {2023-12-13},

booktitle = {2023 62nd IEEE Conference on Decision and Control (CDC)},

publisher = {IEEE Control Systems Society},

address = {Marina Bay Sands, Singapore},

organization = {IEEE},

abstract = {This letter presents a distributed resilient observer for continuous-time linear time-invariant plants that remains functional even under sensor attacks. The proposed method aims to determine the estimation outcome that matches the majority of sensor measurements, which is formulated as an ℓ1 -minimization problem considering all the observable components of each sensor measurement. A distributed observer based on the blended dynamics theory is then proposed to solve the ℓ1 -minimization problem in a distributed manner. As a result, the distributed resilient estimation is enabled for a broader class of systems compared to previous works. The design procedure is constructive with parameters obtained from a specified condition that is equivalent to the well-known null-space property.},

keywords = {distributed control, distributed observer, Networked control system},

pubstate = {published},

tppubtype = {inproceedings}

}