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    Different approaches for estimation of dampings and frequencies of electromechanical modes from PMU ambient data

    , Article 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, 10 June 2015 through 13 June 2015 ; June , 2015 , Pages 1748-1753 ; 9781479979936 (ISBN) Farrokhifard, M ; Hatami, M ; Parniani, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Small signal stability of power systems is one of the most crucially important issues, since the electrical demand is increasing at a galloping rate and power systems are expanding day by day. In this regard, estimation of dampings and frequencies of electromechanical modes through the analysis of field measurements has become a heated study topic for electrical power system researchers in recent years. There have been several methods to analyze different types of Phasor Measurement Units (PMUs) signals i.e., transient, ambient, and probing. Among the proposed techniques, those which are capable of analyzing ambient data seems to be more practical, since this type of data can be achieved... 

    Application of fuzzy decision making in mobile robot navigation in dynamic environments

    , Article IEEE International Conference on Fuzzy Systems, 20 August 2009 through 24 August 2009 ; 2009 , Pages 877-881 ; 10987584 (ISSN) ; 9781424435975 (ISBN) Babalou, A ; Seifipour, N ; Sharif University of Technology
    Abstract
    This paper presents a modified sensor-based online method for mobile robot navigation generating paths in dynamic environments. The intelligent part of the algorithm is a Fuzzy Decision Maker (FDM) which enables the robot to do both the guidance-based tracking algorithm and the obstacle avoidance simultaneously. The output of FDM is a weighted combination of velocity vectors generated by velocity obstacle algorithm and guidance based tracking algorithm. The results prove that the robot can track a moving target while maneuvering safely in dynamic environment and avoids stationary and moving obstacles