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- 저자 : Jabar Ali (검색결과 3 건)
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Ali Jabar Rashidi,Bahram Karimi,Ayoub Khodaparast 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.3
In this paper, a predictive controller approach is proposed for depth and steer control of an Autonomous Underwater Vehicle (AUV). The predictive controller is an advanced control technique that performs control in form of online at any sampling time. AUV control has a lot of complexity due to the coupled nonlinear dynamics, parametric uncertainty and external disturbances due to underwater conditions. In addition, the AUV in this paper has constraints on actuators, which make its control more complicated. One of the challenges against implementing of predictive controller is their computational burden and the time consuming control operations at each time step. In this research, the Laguerre orthogonal functions are used for the predictive controller design to optimize and educe computational burden in time interval. The designed controller has several advantages such as being online and optimized, high accuracy, implementation capability, interaction with the constraints and robustness to disturbances. In order to demonstrate the efficiency of the method, the proposed controller is simulated for the AUV and the calculation time of the controllers with and without the Laguerre functions is compared with each other. Using Laguerre functions, the simulation results and their implementation on the board show the favorable efficiency and effectiveness of the proposed controller. Additionally, we have compared the proposed method with the LQR method. The obtained results confirm the superiority of various predictive controller methods.
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Dynamic analysis of train-bridge system under one-way and two-way high-speed train passing
Meysam Jahangiri,Jabar-Ali Zakeri 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.64 No.1
In this paper, the dynamic responses of train-bridge system under one-way and two-way high-speed train passing are studied. The 3D finite element modeling is used and the bridge and train are modeled considering their details. The created model is validated by the results of the dynamic field test. To study the effect of train speed, different train passing scenarios are analyzed, including one-way passing, two-way passing in different directions at same speeds, and two-way passing in different directions at different speeds. The results show that the locations of maximum acceleration are different in one-way and two-way passing modes, and the maximum values in two-way passing mode are higher than those in one-way passing mode, while the maximum accelerations in both modes are almost identical. The displacement and acceleration values in different scenarios show peaks at speeds of 260 and 120 km/h, due to the proximity of the natural frequencies of the bridge and loading frequencies of the train at these speeds.
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나승운,박지영,최병걸,최세연,최재웅,류성기,이세진,김승환,노영균,Raghavender Goud Akkala,Hu Li,Jabar Ali,김지박,이선기,나진오,최철웅,임홍의,김진원,김응주,박창규,서홍석,오동주 연세대학교의과대학 2016 Yonsei medical journal Vol.57 No.1
Purpose: Angiotensin converting enzyme inhibitor (ACEI) and angiotensin receptor blocker (ARB) are associated with a decreasedincidence of new-onset diabetes mellitus (NODM). The aim of this study was to compare the protective effect of ACEIversus ARBs on NODM in an Asian population. Materials and Methods: We investigated a total of 2817 patients who did not have diabetes mellitus from January 2004 to September2009. To adjust for potential confounders, a propensity score matched (PSM) analysis was performed using a logistic regressionmodel. The primary end-point was the cumulative incidence of NODM, which was defined as having a fasting bloodglucose ≥126 mg/dL or HbA1c ≥6.5%. Multivariable cox-regression analysis was performed to determine the impact of ACEI versusARB on the incidence of NODM. Results: Mean follow-up duration was 1839±1019 days in all groups before baseline adjustment and 1864±1034 days in the PSMgroup. After PSM (C-statistics=0.731), a total 1024 patients (ACEI group, n=512 and ARB group, n=512) were enrolled for analysisand baseline characteristics were well balanced. After PSM, the cumulative incidence of NODM at 3 years was lower in the ACEIgroup than the ARB group (2.1% vs. 5.0%, p=0.012). In multivariate analysis, ACEI vs. ARB was an independent predictor of thelower incidence for NODM (odd ratio 0.37, confidence interval 0.17–0.79, p=0.010). Conclusion: In the present study, compared with ARB, chronic ACEI administration appeared to be associated with a lower incidenceof NODM in a series of Asian cardiovascular patients.
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