@inproceedings{scholars9501,
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation, ROMA 2018},
           title = {Design and Analysis of Fractional-order Filters Using Scilab},
            year = {2018},
             doi = {10.1109/ROMA46407.2018.8986711},
            note = {cited By 1; Conference of 4th IEEE International Symposium in Robotics and Manufacturing Automation, ROMA 2018 ; Conference Date: 10 December 2018 Through 12 December 2018; Conference Code:157694},
        abstract = {Over the years fractional ordering of conventional filters have been proposed by researchers for various industrial applications. In all the developments, the implementation and evaluation of these filters are done using MATLAB software. However, MATLAB is very expensive even for a limited number of licenses. Hence, a major alternative and open-source software i.e., Scilab can be used for these numerical computations. Therefore, in this paper, the fractional-order filters (low, high, band and all-pass) are developed and analyzed using Scilab in terms of Bode, impulse and step responses. The simulation study shows that the fractional-order filters can be effectively implemented and analyzed using Scilab. {\^A}{\copyright} 2018 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080057926&doi=10.1109\%2fROMA46407.2018.8986711&partnerID=40&md5=959bf4b3be06ff514bb78d4d25994f48},
        keywords = {Manufacture; MATLAB; Open systems; Robotics, Conventional filters; Design and analysis; Domain analysis; Fractional-order filters; Numerical computations; Oustaloup's Approximation; Scilab; Simulation studies, Open source software},
            isbn = {9781728103747},
          author = {Bingi, K. and Ibrahim, R. and Karsiti, M. N. and Hassan, S. M. and Harindran, V. R.}
}