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 Dr Nezar Mohammed Yazidi

Assistant Professor
DrNalyazidi.png 
Office: 22-233
Phone: 966-13-860-1484
Fax: 966-13-860-2965
Email: nalyazidi(at)kfupm.edu.sa
 
 
 
              
Education
  • PhD, Industrial Engineering, Concordia Univ., Canada, 2011
  • MSc, Industrial Engineering, Zagazig Univ., Egypt, 2005
  • D.SC., Industrial Engineering and Production, Zagazig Univ., Canada, 1999
 
Teaching
  • CISE 305 Linear Control Systems
  • CISE 313 Automation Devices and Electronics
  • CISE 390 Seminars
  • CISE 438 Instrumentations for Process Control
  • CISE 490 Senior Design Project
 
Research Interests
  • Distributed Control
  • Networked Control Systems
  • Optimal Control
  • Artificial Intelligence
  • Microgrids 
Selected Publications
  1. MS Mahmoud, NM Alyazidi, AM Hassanine, "Modeling and Control of Underactuated Three-Dimensional Overhead Crane Systems", International Journal of Robotics and Automation Technology 6 (1), 80-85, 2019
  2. NM Alyazidi, MS Mahmoud, "LQG Control Design for Network Systems with/without Acknowledgments Using A Particle Filtering Technology", Applied Mathematics and Computation, 2019
  3. N Alyazidi, M Abouheaf, MS Mahmoud, A Sharaf, "Stochastic Control Approach for Distributed Generation Units Interacting on Graphs", New Trends in Observer-based Control, 77-98, 2019
  4. NM Alyazidi, MS Mahmoud, "Distributed H2/H∞ Filter Design for Discrete-Time Switched Systems", IEEE/CAA Journal of Automatica Sinica, 2019
  5. NM Alyazidi, MS Mahmoud, "L1 adaptive networked controller for islanded distributed generation systems in a microgrid", International Journal of Systems Science, 2018
  6. NM Alyazidi, MS Mahmoud, MI Abouheaf, "Adaptive critics based cooperative control scheme for islanded Microgrids",
    Neurocomputing, 272, 532–541, 2018
  7. MS Mahmoud, NM Alyazidi, "Quantized H∞ Estimator Over Communication Networks For Distributed Generation Units",
    IEEE Transactions on Systems, Man, and Cybernetics, ODI: 10.1109/TSMC.2017, 2017
  8. MS Mahmoud, NM Alyazidi, MI Abouheaf, "Adaptive Intelligent Techniques for Microgrid Control Systems: A Survey", International Journal of Electrical Power & Energy Systems, 90, 292–305, 2017