Work place: Electrical Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq
E-mail: tariq.tashan@uomustansiriyah.edu.iq
Website:
Research Interests: Computer systems and computational processes, Neural Networks, Pattern Recognition, Computer Architecture and Organization, Speech Recognition, Data Structures and Algorithms
Biography
Tariq Tashan is a lecturer at the Electrical Engineering department, Mustansiriyah University, Baghdad-Iraq. He obtained his BSc in Electrical Engineering and MSc in Communication and Electronics from Mustansiriyah University. He obtained his PhD in Biologically Inspired Speaker Verification from Nottingham Trent University and Member of the Institution of Engineering and Technology (MIET). His research interests include Speaker recognition, Neural Networks, and pattern recognition.
By Ekhlas H. Karam Tariq Tashan Eman F. Mohsin
DOI: https://doi.org/10.5815/ijmecs.2019.03.05, Pub. Date: 8 Mar. 2019
A modified Model-Free Sliding Mode Controller (MF-SMC) scheme, which based on the Biogeography-Based Optimization (BBO) algorithm is suggested, to regulate the heart rate since it is difficult to derive a suitable model for the control algorithm, therefore the traditional control algorithm cannot perform efficiently. Also, a smoothing boundary layer is used to eliminate the chattering in the MF-SMC control signal. Results of simulation effort show that overshoot less and fast performance is achieved with stable convergence for the tracking regardless of the heart rate model to be controlled.
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