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All Journal IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE) Journal of Engineering and Technological Sciences Teknomekanik
Rosmiwati Mohd-Mokhtar
School of Electrical & Electronic Engineering, Universiti Sains Malaysia
Automotive Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

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MIMO Frequency Sampling Filters for Modelling of MIMO System Applications Aziz, Muhammad Hilmi R. A.; Mohd-Mokhtar, Rosmiwati
Journal of Engineering and Technological Sciences Vol 45, No 1 (2013)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.993 KB) | DOI: 10.5614/j.eng.technol.sci.2013.45.1.6

Abstract

In the modelling of a system based on a system identification approach, data acquisition is the first procedure that must be carried out. The data acquisition process from a real system typically yields large amounts of data. This may lead to unacceptable computational time during the identification process. Raw data may also suffer severe noise disturbance, especially in the high frequency region. In addition, bias estimation will occur if one only considers direct identification from a closed-loop system. To overcome this problem, in this paper a multivariable frequency sampling filter approach is introduced. Multi-input-multi-output (MIMO) raw data are analyzed in order to obtain only relevant and meaningful parameters that describe the empirical model of the analyzed data. By performing this procedure, compressed, cleaned and unbiased data are produced. The efficacy of the MIMO frequency sampling filters was demonstrated by compressing two sets of data: pH neutralization process data and steam generator plant data. The results show that the amount of raw data was successfully compressed and that the output was ready for identification purposes with less computational time, i.e. they could be further used to develop a model of the system, to conduct time and frequency response analysis, and also for developing a new control system design.
Estimation of solar energy based on solar angles: cities of Iraq case study Mohamed-Abdulhussein, Munther; Mohd-Mokhtar, Rosmiwati
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp628-636

Abstract

In this paper, a model was designed to estimate the amount of solar energy based on solar radiation angles. The model was applied to five Iraqi cities (Baghdad, Basrah, Nineveh, Dyala, and Anbar). The amount of solar energy reaching the globe's surface is analyzed through its application. Data from NASA was relied upon for implementation and comparison. The main objective of the research is to find a reliable and low-cost method by which to know the amount of solar energy in the study area to promote sustainable energy. The results were compared with the data available from NASA, and a satisfactory agreement was found based on some statistical processes that prove the validity of the proposed model. Through the results, it is possible to rely on the proposed model to predict the amount of solar energy reaching the study area and to implement solar energy projects.
A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system Sahib, Thaeer Mueen; Mohd-Mokhtar, Rosmiwati; Mohd-Kassim, Azleena
Teknomekanik Vol. 7 No. 1 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v7i1.28872

Abstract

The waste collection stage generated 70% of the cost of the total Municipal Solid Waste (MSW) management system. Therefore, choosing the most affordable waste collection method is essential to accurately estimate the waste collection and transportation costs, thus selecting the required vehicle capacity. The study aims to design a waste collection system for calculating waste collection and transportation costs using a systematic framework that includes Hybridized Ant Colony Optimization (HACO) with Sequential Variable Neighborhood Search Change Step (SVNSCS) and Sequential Variable Neighborhood Decent (SVND). The framework addresses a Dynamic Capacity of Vehicle Routing Problem (DCVRP) and improves ACO's ability in exploration and exploitation stages. The objectives are to minimize the cost of travel distance and arrival time formulated in a mathematical model and to design a new strategy for eliminating the sub-tour problem in the following steps: (1) minimize the number of routes assigned, (2) increase the amount of waste in the vehicle capacity, and (3) define the best amount of waste allowed in vehicle capacity. The waste collection system compared HACO with ACO across four benchmark datasets. The results indicate HACO outperformance ACO at 100%, 91%, 100%, and 87%, respectively. The visualization results demonstrated that HACO has fast convergence and can be considered another essential tool for route optimization in the waste collection system.
Design of H-/H∞ based fault detection filter for linear uncertain systems using linear matrix inequalities Ahmad, Masood; Mohd-Mokhtar, Rosmiwati
IAES International Journal of Robotics and Automation (IJRA) Vol 14, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v14i2.pp214-226

Abstract

One of the significant challenges in model-based fault detection is achieving robustness against disturbances and model uncertainties while ensuring sensitivity to faults. This study proposes an optimized approach for designing fault detection filters for discrete-time linear systems with norm-bounded model uncertainties. The design leverages the H-/H∞ optimization framework and is expressed through linear matrix inequality constraints. The filter is designed to produce a residual signal that balances two opposing objectives: minimizing the impact of disturbances and model uncertainties while maximizing fault sensitivity. The effectiveness of the proposed method is demonstrated through simulations involving sensor and actuator fault detection in the well-known three-tank system. Simulation results illustrate the method's ability to maintain robustness against disturbances and uncertainties while effectively detecting faults in the system.
Co-Authors Ahmad, Masood Mohamed-Abdulhussein, Munther Mohd-Kassim, Azleena Muhammad Hilmi R. A. Aziz Sahib, Thaeer Mueen