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Академска каријера

  • Изабран у звање доцент 2018. године на Електронском факултету у Нишу, област Аутоматика
  • Докторирао 2016. године на Електронском факултету, област Управљње системима
  • Дипломирао 2009. године на Електронском факултету у Нишу, област Аутоматика

Изабране референце

  • Saša Nikolić, Dragan Antić, Bratislav Danković, Marko Milojković, Zoran Jovanović, Staniša Perić, “Orthogonal Functions Applied in Antenna Positioning”, Advances in Electrical and Computer Engineering, vol. 10, no. 4, (2010), pp. 35-42, DOI: http://dx.doi.org/10.4316/AECE.2010.04006, Publisher: Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania.
  • Darko Mitić, Staniša Perić, Dragan Antić, Zoran Jovanović, Marko Milojković, Saša Nikolić, “Digital Sliding Mode Control of Anti-Lock Braking System”, Advances in Electrical and Computer Engineering, vol. 13, no. 1, (2013), pp. 33-40, DOI: http://dx.doi.org/10.4316/AECE.2013.01006, Publisher: Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania.
  • Staniša Perić, Dragan Antić, Vlastimir Pavlović, Saša Nikolić, Marko Milojković, “Ultra-Selective Lowpass Linear-Phase FIR Filter Function”, Electronics Letters, vol. 49, no. 9, (2013), pp. 595-597, DOI: http://dx.doi.org/10.1049/el.2012.4475, Publisher: Institution of Engineering and Technology (IET).
  • Marko Milojković, Dragan Antić, Saša Nikolić, Zoran Jovanović, Staniša Perić, “On a New Class of Quasi-Orthogonal Filters”, International Journal of Electronics, vol. 100, no. 10, (2013), pp. 1361-1372, DOI: http://dx.doi.org/10.1080/00207217.2012.743087, Publisher: Taylor & Francis.
  • Vlastimir Pavlović, Dragan Antić, Saša Nikolić, Staniša Perić, “Low Complexity Lowpass Linear-Phase Multiplierless FIR Filter”, Electronics Letters, vol. 49, no. 18, (2013), pp. 1133-1135, DOI: http://dx.doi.org/10.1049/el.2013.1791, Publisher: Institution of Engineering and Technology (IET).
  • Staniša Perić, Dragan Antić, Vlastimir Nikolić, Darko Mitić, Marko Milojković, Saša Nikolić, “A New Approach to the Sliding Mode Control Design: Anti-lock Braking System as a Case Study”, Journal of Electrical Engineering, vol. 65, no. 1, (2014), pp. 37-43, DOI: http://dx.doi.org/10.2478/jee-2014-0005, Publisher: The Faculty of Electrical Engineering and Information Technology of the Slovak University of Technology, Bratislava and The Institute of Electrical Engineering of the Slovak Academy of Sciences, Bratislava.
  • Marko Milojković, Dragan Antić, Miroslav Milovanović, Saša S. Nikolić, Staniša Perić, Muhanad Almawlawe, “Modeling of Dynamic Systems Using Orthogonal Endocrine Adaptive Neuro-Fuzzy Inference Systems”, Journal of Dynamic Systems, Measurement, and Control, vol. 137, no. 9, (2015), pp. DS-15-1098, DOI: http://dx.doi.org/10.1115/1.4030758, Publisher: The American Society of Mechanical Engineers.
  • Staniša Perić, Dragan Antić, Miroslav Milovanović, Darko Mitić, Marko Milojković, Saša Nikolić, “Quasi-Sliding Mode Control with Orthogonal Endocrine Neural Network-Based Estimator Applied in Anti-Lock Braking System”, IEEE/ASME Transactions on Mechatronics, vol. 21, no. 2, (2016), pp. 754-764. DOI: http://dx.doi.org/10.1109/TMECH.2015.2492682), Publisher: IEEE.
  • Miroslav Milovanović, Dragan Antić, Marko Milojković, Saša Nikolić, Staniša Perić, Miodrag Spasić, “Adaptive PID Control Based on Orthogonal Endocrine Neural Networks”, Neural Networks, vol. 84, (2016), pp. 80-90, DOI: http://dx.doi.org/10.1016/j.neunet.2016.08.012, Publisher: Elsevier Ltd.
  • Miroslav Milovanović, Dragan Antić, Marko Milojković, Saša Nikolić, Miodrag Spasić, Staniša Perić, “Time Series Forecasting with Orthogonal Endocrine Neural Network Based on Postsynaptic Potentials”, Journal of Dynamic Systems, Measurement, and Control, vol. 139, no. 4, (2017), pp. DS-15-1656, DOI: http://dx.doi.org/10.1115/1.4035090, Publisher: The American Society of Mechanical Engineers.

Активности

  • Укупан број радова у часописима са IMPACT фактором: 21
  • Тренутно учешће на пројектима: Национални: 2; Интернационални: 4
  • Остали релевантни подаци:

Основни подаци

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