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란크릭 캅셀(플루옥세틴 20mg)에 대한 프로작 캅셀의 생물학적 동등성 시험
심상범,조요나,오한석,류재환,이경태,김남재,서성훈 경희대학교 동서의학연구소 2001 東西醫學硏究所 論文集 Vol.2000 No.-
Bioequivalence of two flouxetine capsule, ProzacR (Lilly kora Ltd.) and LanclicR (Samsung Pharm. IND. Co.), was evalated according to the guideline of KFDA. Twenty four healthy male volunteers (21-26 years old) were divided into two groups and a randomized 2×2 cross-over study was employed. After 60mg of fluoxetine was orally administered, blood was taken at 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 24, 32, 48 and 72 hours after administration and just before administration. Plasma was analyzed for fluoxetine and internal standard (clomipramine) by a sensitive and validated HPLC assay. The pharmaco kinetic parameters (AUCt, Cmax and Tmax) wre calculated and ANOVA test was used for the statistical analysis of parameters. Differences in (AUCt, Cmax and Tmax between two capsules were -0.90, 3.46 and -14.08% respectively. All powers (1-β) for AUGt, Cmax and Tmax were more than 0.9. Detectable differences (Δ) and confidence interval were all less than ±20%. All the parameters above met the criteria of KFDA for bioequivalence and indicated that LanclicR capsules are bioequivalent to ProzacR capsules.
Adaptive Observer Design for Nonlinear Systems Using Generalized Nonlinear Observer Canonical Form
Nam-Hoon Jo,Young-Ik Son 대한기계학회 2004 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.18 No.7
In this paper, we present an adaptive observer for nonlinear systems that include unknown constant parameters and are not necessarily observable. Sufficient conditions are given for a nonlinear system to be transformed by state-space change of coordinates into an adaptive observer canonical form. Once a nonlinear system is transformed into the proposed adaptive observer canonical form, an adaptive observer can be designed under the assumption that a certain system is strictly positive real. An illustrative example is included to show the effectiveness of the proposed method.
Robust Stabilization of Minimum Phase Nonlinear Systems with Uncertain Input and Drift Vector Fields
Jo, Nam-Hoon 崇實大學校 生産技術硏究所 2002 論文集 Vol.32 No.-
In this paper, we solve the problem of local stabilization via state feedback for a class of minimum phase nonlinear systems with uncertain input vector fields as well as uncertain drift vector fields. Assuming that the nominal system is partially feedback linearizable and has well-defined relative degree and that strict triangularity conditions holds for both uncertain drift vector fields and uncertain input vector fields, we present a robust state feedback controller which makes the origin locally uniformly asymptotically stable. Based on a Lyapunov-based recursive scheme, the controller can be explicitly constructed.
Adaptive Observer Design for Nonlinear Systems Using Generalized Nonlinear Observer Canonical Form
Jo, Nam-Hoon,Son, Young-Ik The Korean Society of Mechanical Engineers 2004 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.18 No.7
In this paper, we present an adaptive observer for nonlinear systems that include unknown constant parameters and are not necessarily observable. Sufficient conditions are given for a nonlinear system to be transformed by state-space change of coordinates into an adaptive observer canonical form. Once a nonlinear system is transformed into the proposed adaptive observer canonical form, an adaptive observer can be designed under the assumption that a certain system is strictly positive real. An illustrative example is included to show the effectiveness of the proposed method.
Can a fast disturbance observer work under unmodeled actuators?
Nam-Hoon Jo,Youngjun Joo,Hyungbo Shim 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
In this paper, we study robust stability of a closed-loop system with disturbance observer (DOB) when the relative degree of the plant P is greater than or equal to one, but is unknown to the control designer so that he/she chooses the nominal plant Pn of relative degree one. This situation typically happens when the actuator dynamics is ignored at the control design stage. Based on the standing assumption that the bandwidth of the low-pass Q-filter is sufficiently large, our study reveals the following results: 1) if the relative degree of P is equal to, or bigger than the relative degree of Pn by one, robust stabilization may be achieved by carefully designing the Q-filter and the nominal model Pn. It is emphasized that, when the relative degrees are not the same, not only the Q-filter but also the nominal model Pn should be carefully chosen to achieve the goal. 2) When the difference of relative degrees is greater than one, robust stabilization is not possible no matter how Q-filter and Pn are chosen. Therefore, in order to achieve robust stabilization, it is suggested to estimate the relative degree of the plant as close as possible.
Robust Stabilization of Nonminimum Phase Nonlinear Systems
Nam-Hoon Jo,Joo Sung-Jun,Dae-Jong Noh,Sang-Hyuk Lee,Jin-Heon Seo 한국정보과학회 1999 Journal of Electrical Engineering and Information Vol.4 No.3
This paper deals with the problem of robust stabilization for nonlinear systems with mismatched uncertainties. The system under consideration may either fail to have well-defined relative degree or have unstable zero dynamics. The approach is based on an appropriate transformation introduced by Allgower(l997) which transforms the given nonlinear system into a special normal form. We design a robust controller by adding a saturation-type robustifying term to nominal controller. The proposed feedback controller guarantees that all the states will remain bounded.
Noise Reduction Disturbance Observer for Disturbance Attenuation and Noise Suppression
Jo, Nam Hoon,Jeon, Chanyoung,Shim, Hyungbo IEEE 2017 IEEE transactions on industrial electronics Vol.64 No.2
<P>In most research works on the disturbance observer (DOB)-based controller, stability conditions are only sufficient and not effective for handling large uncertainties. To deal with large uncertainties, a necessary and sufficient condition for robust stability has been recently provided by utilizing a novel design technique for the Q-filter. Although this design method can deal with large uncertainties, it is not capable of suppressing the effect of sensor noise. To achieve noise suppression as well as disturbance attenuation, this paper proposes a robust controller by utilizing a modified DOB structure. In contrast to the conventional DOB structure, noise suppression ability of the proposed controller can be adjusted by an appropriate choice of the Q-filter. Moreover, a necessary and sufficient condition for the modified DOB system to be robustly stable is newly presented. To show the effectiveness of the proposed controller, the performance is compared with other disturbance attenuation methods through simulation studies. Finally, in order to verify the validity of the proposed method, laboratory experiments are also conducted with brushless dc motor drives, which confirms that the proposed controller is quite useful for attenuating both input disturbance and sensor noise, while DOB controller is not capable of suppressing sensor noise.</P>