List of Articles OLR

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  1 - Analysis of the monthly spatial structure of OLR in IRAN
  Teimour Jafarie sayyed mahmoud  hosseini seddigh
  The purpose of this study is to analysis monthly OLR of the Iranian surface. For this purpose, the ground OLR data was extracted and analyzed from the ncep/ncar database during the statistical period of 1354-1398. In order to extract the have been used in the Gards soft More

  The purpose of this study is to analysis monthly OLR of the Iranian surface. For this purpose, the ground OLR data was extracted and analyzed from the ncep/ncar database during the statistical period of 1354-1398. In order to extract the have been used in the Gards software and GIS. Findings showed that by examining the spatial index of Gi statistic, the hot spots of Iran's OLR are 99% and 95% in August, July, June, September and October. Hot spots correspond to areas of the tropics and to latitudes below 30 degrees north; Also, the maximum cold spots are at the level of 99%, 95% in February, December, January, March, April, and the maximum cold spots OLR from the northeast to the northwest. It includes the northeastern, northern and northwestern regions of the country, as well as the northern highlands of the Zagros Mountains. Manuscript profile
• Open Access Article
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  2 - Robust Tracking by Using Measure Theory
  A. Zare A. Khaki-Sedigh A. Vahidian
  This paper presents two new approaches for robust step tracking in structure uncertain nonlinear systems. The problem is first restated as a non linear optimal control infinite horizon problem, then with a suitable change of variable, the time interval is transfer to th More

  This paper presents two new approaches for robust step tracking in structure uncertain nonlinear systems. The problem is first restated as a non linear optimal control infinite horizon problem, then with a suitable change of variable, the time interval is transfer to the finite horizon [0 1). This change of variable, poses a time varying problem. This problem is then transfer to measure space, and it is shown that an optimal measure must be determined which is equivalent to a linear programming problem with infinite dimension. Then, using finite horizon approximations, the optimal control law is determined as a piece wise constant function. Simulations are provided to show the effectiveness of the proposed methodology Manuscript profile