Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Bum-Yong Park"'
Publikováno v:
IEEE Access, Vol 10, Pp 9868-9876 (2022)
Herein, we propose a normalized subband adaptive filter (NSAF) algorithm that adjusts both the step size and regularization parameter. Based on the random-walk model, the proposed algorithm is derived by minimizing the mean-square deviation of the NS
Externí odkaz:
https://doaj.org/article/3ee3b7ff032e462e8e84418c96a9e61f
Autor:
Won Il Lee, Bum Yong Park
Publikováno v:
IEEE Access, Vol 9, Pp 83499-83506 (2021)
This study addresses the stabilization condition for Markovian jump systems with quantized input and generally uncertain transition rates. To stabilize Markovian jump systems with nonlinear inputs using only partial knowledge regarding to the transit
Externí odkaz:
https://doaj.org/article/f76711332181410ab31a724bd49b814a
Publikováno v:
Symmetry, Vol 14, Iss 10, p 1985 (2022)
This paper presents a novel variable matrix-type step-size affine projection sign algorithm (VMSS-APSA) characterized by robustness against impulsive noise. To mathematically derive a matrix-type step size, VMSS-APSA utilizes mean-square deviation (M
Externí odkaz:
https://doaj.org/article/504707f6623a45bc9ff795b2a117f2db
Autor:
Hee-Jin Lee, Bum Yong Park
Publikováno v:
The Journal of Supercomputing. 79:10849-10863
Publikováno v:
The Journal of Korean Institute of Information Technology. 19:43-51
Publikováno v:
The Journal of Korean Institute of Information Technology. 19:45-53
Autor:
Bum Yong Park
Publikováno v:
Mathematical Problems in Engineering. 2020:1-11
This paper proposes an ℋ 2 state-feedback controller for Markovian jump systems with input saturation and incomplete knowledge of transition probabilities. The proposed controller is developed using second-order matrix polynomials of an incomplete
Publikováno v:
The transactions of The Korean Institute of Electrical Engineers. 69:344-348
Publikováno v:
Applied Mathematics and Computation. 434:127455
Autor:
JaeWook Shin, Bum Yong Park
Publikováno v:
International Journal of Control, Automation and Systems. 17:2474-2481
An H∞ state-feedback controller for Markovian jump systems with incomplete knowledge of transition probabilities and input quantization is proposed. To derive the less conservative stabilization conditions, the conditions are developed into the sec