This page provides access to research works by Dr. Azuwir Mohd Nor, currently a Senior Lecturer of School of Manufacturing Engineering, Universiti Malaysia Perlis.


Skills and Expertise:MATLAB Simulation,Control Theory,System Modeling,MATLAB,Mechatronics,Modeling,Control and Instrumentation,System Identification,Control Systems Engineering,Automotive,Control Techniques and Differential Evolution

Recent Submissions

  • Microcontroller-based for system identification tools using least square method for RC circuits 

    Jia Yi, Ang; Abdul Majid, M.S.,; Azuwir, Mohd Nor; Yaacob, S. (Penerbit UTM Press, 2015)
    System identification is one of the method to construct a plant mathematical model from experimental data. This method has been widely applied in the automatic control, aviation, spaceflight medicine, society economics and ...
  • Crashworthiness study of S-Rail behavior 

    Mohd Sabri, Hussin; Hadi, Hasnul A.; Siti Aishah, Adam; Azuwir, Mohd Nor; Zaiazmin, Y. N. (Praise Worthy Prize, 2011-11)
    In this study, a different design aspect of a simplified front side rail structure of an automobile body (S-Rail) from the point of view of crashworthiness parameters which are crushed energy absorption and force response ...
  • Modeling and validation of brushless DC motor 

    Mohd Sabri, Hussin; Azuwir, Mohd Nor; Nor Zaiazmin, Yahaya (Institute of Electrical and Electronics Engineers (IEEE), 2011-04-19)
    A black box modeling for a Brushless Direct Current motor is developed and simulated based on real-time data. Taking a discrete time form for the system model, an ARX model structure was selected in this work. The real-time ...
  • Identification of dynamic linear models of automotive palm bio-diesel engine for real-time speed control applications 

    Azuwir, Mohd Nor; Mohd Zaki, Ab. Muin, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-04-19)
    This paper describes the black-box modeling of automotive palm bio-diesel engine based on real-time data. The models derived are for the development of real-time self tuning speed controller purposes. Assuming a discrete ...