List of English Publication

@inproceedings{nokey,

title = {Reference-Tracking Sliding-Mode Control Robust to Mismatched Exogenous Disturbances},

author = {Sunghyun Koo and Hyungbo Shim},

url = {https://ieeexplore.ieee.org/abstract/document/10665455},

isbn = {978-9-8875-8159-8},

year  = {2024},

date = {2024-07-06},

urldate = {2024-07-06},

booktitle = {2024 14th Asian Control Conference},

pages = {848-853},

abstract = {A dynamic state-feedback sliding-mode controller (SMC) based on the internal model principle (IMP) is proposed for the tracking of exogenous signals. The proposed SMC is robust to both matched disturbances and mismatched exogenous disturbances. It also achieves robustness to matched parametric uncertainties and a certain degree of mismatched parametric uncertainties. The stability of the closed-loop system and the existence of a global solution are theoretically guaranteed by a specific initialization of the internal model. Its performance is demonstrated through numerical simulations.},

keywords = {Internal model principle, Output regulation, Sliding mode control},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{LeeShim19b,

title = {Behavior of a network of heterogeneous Li´enard systems under strong output coupling},

author = {Jin Gyu Lee and Hyungbo Shim},

doi = {https://doi.org/10.1016/j.ifacol.2019.11.788},

year  = {2019},

date = {2019-09-04},

booktitle = {Proc. of 8th IFAC Symposium on Mechatronic Systems & 11th IFAC Symposium on Nonlinear Control Systems},

journal = {Proc. of 2016 IEEE 55th Conference on Decision and Control},

volume = {52},

number = {16},

pages = {256-261},

publisher = {IFAC},

address = {Vienna, Austria},

abstract = {In this paper, to participate in the understanding of a biological system, we analyze the synchronous and oscillatory behavior of coupled Liénard systems. In particular, we will consider a network of heterogeneous Liénard systems under output diffusive coupling to take into account two fundamental characteristics of a biological system. The key idea in this work is to emphasize the role of a network, which introduces an emergent behavior that each individual element approximately follows, hence making elements approximately synchronize. The intuition comes from a series of developments recently made in the name of ‘blended dynamics,’ and thus, the common philosophy of ‘blended dynamics’ approach enables us to illustrate a biological phenomenon that collective behavior is preserved even when there are some malfunctioning elements.},

keywords = {Approximate synchronization, Blended dynamics, Heterogeneous multi-agents, Internal model principle, Lienard system, Oscillations, Singular perturbation, Strong coupling},

pubstate = {published},

tppubtype = {inproceedings}

}