Mohd Zakimi Zakaria, Dr
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About Dr. Mohd Zakimi Bin Zakaria
Dr. Mohd Zakimi Zakaria is currently a Senior Lecturer at Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis
He was formerly from School of Manufacturing Engineering
ORCID ID: https://orcid.org/
Scopus Author ID: 36999011800
Email: Mohd Zakimi Zakaria
Research Interests
System Modeling
Advanced Control Theory
Modeling and Simulation
Modeling
Recent Submissions
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A Computational Study on the Magnetic Resonance Coupling Technique for Wireless Power Transfer
(EDP Sciences, 2017)Non-radiative wireless power transfer (WPT) system using magnetic resonance coupling (MRC) technique has recently been a topic of discussion among researchers. This technique discussed more scenarios in mid-range field of ... -
Effects of genetic algorithm parameters on multiobjective optimization algorithm applied to system identification problem
(Institute of Electrical and Electronics Engineers (IEEE), 2011)The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. ... -
Bee algorithm integrated with system identification technique for modelling dynamic systems
(Asian Research Publishing Network (ARPN), 2016-04-20)System identification has been widely used in modelling dynamic system whereby the input-output data from real system are undergo the model structure selection, parameter estimation and model validation procedure. However, ... -
Modeling automotive palm oil biodiesel engine using multi-objective optimization differential evolution algorithm
(World Scientific and Engineering Academy and Society, 2014)Modeling automotive palm oil biodiesel engine using the propose algorithm called multi-objective optimization differential evolution (MOODE) is carried out in this paper. The performance of the system is analyzed to study ... -
Multiobjective evolutionary algorithm approach in modeling discrete-time multivariable dynamics systems
(Institute of Electrical and Electronics Engineers (IEEE), 2010)Multiobjective evolutionary algorithms are robust tool in solving many optimization problems. Model structure selection is a procedure in system identification procedures. This procedure counters two contradicting objective ... -
Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
(SAGE Publications, 2012-08)Modeling input-output data representing a dynamic system is a challenging task when multiple objectives are involved. The developed model needs to be parsimonious yet still adequate. To achieve these goals, two objective ... -
Evapotranspiration prediction using system identification and genetic algorithm
(Acta Press, 2012)Reference evapotranspiration or ETO is important to provide information in planning and management of water resource system for irrigation purposes. Hence, its accurate estimation is of vital importance to assess water ...
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