List of English Publication

@article{KimShimJo14,

title = {Adaptive Add-on Output Regulator for Rejection of Sinusoidal Disturbances and Application to Optical Disc Drives},

author = {Hyungjong Kim and Hyungbo Shim and Nam Hoon Jo},

doi = {10.1109/TIE.2014.2304920},

year  = {2014},

date = {2014-02-10},

journal = {IEEE Transactions on Industrial Electronics},

volume = {61},

number = {10},

pages = {5490-5499},

abstract = {In this paper, we revisit an add-on output feedback controller that achieves output regulation and disturbance rejection. By add-on controller, we mean an additional controller, which runs harmonically with a preinstalled controller that has been in operation for the plant. When the disturbance attenuation performance of the preinstalled controller is not satisfactory, the add-on controller can be used to eliminate the disturbance. Some advantages of the proposed add-on controller include that it can be designed without much information about the preinstalled controller and it can be plugged in the feedback loop any time in operation without causing unnecessary transient response. In particular, we propose an adaptive add-on controller, which can eliminate sinusoidal disturbances of unknown frequencies. Both simulation and experimental results of the track-following control for optical disc drive systems confirm the effectiveness of the proposed method.},

keywords = {Adaptive control, Control system synthesis},

pubstate = {published},

tppubtype = {article}

}

@article{KimYoonShimSeo08,

title = {Switching Adaptive Output Feedback MPC for a Class of Input-constrained Linear Plants},

author = {Jung-su Kim and Tae Woong Yoon and Hyungbo Shim and Jin Heon Seo},

doi = {10.1049/iet-cta:20070120},

issn = {1751-8644},

year  = {2008},

date = {2008-07-01},

journal = {IET Control Theory and Applications},

volume = {2},

number = {7},

pages = {573-582},

abstract = {An adaptive output feedback model predictive control (MPC) for an uncertain input-constrained neutrally stable linear plant using control-relevant switching is presented. By employing an input-to-state stabilising MPC as the multi-controller, switching adaptive output feedback MPC is proposed for the system. Unlike previous methods for handling uncertainties on the basis of minmax MPC laws or techniques for linear parameter varying systems, the proposed MPC scheme employs model switching to deal with modelling uncertainties through adaptation; a best model is selected for the MPC law from time to time. The proposed scheme using finite prediction horizon guarantees global stability. Simulation results are given to show the effectiveness of the scheme.},

keywords = {Adaptive control},

pubstate = {published},

tppubtype = {article}

}