S
Sharatul Izah Samsudin
Researcher at Universiti Teknikal Malaysia Melaka
Publications - 35
Citations - 182
Sharatul Izah Samsudin is an academic researcher from Universiti Teknikal Malaysia Melaka. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 8, co-authored 33 publications receiving 146 citations.
Papers
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Journal Article
Non-linear modeling and cascade control of an industrial pneumatic actuator system
Mohd. Fua'ad Rahmat,Sy Najib Sy Salim,Ahmad Athif Mohd Faudzi,Zool Hilmi Ismail,Sharatul Izah Samsudin,N. H. Sunar,Kamaruzaman Jusoff +6 more
TL;DR: The results reveal that both step and sinusoidal response test, the cascade controller consistently indicates outperform performance compared to classical PID method and it is recommended to apply this technique to the real-time implementation.
Journal ArticleDOI
A Smart Monitoring of a Water Quality Detector System
Sharatul Izah Samsudin,Sani Irwan Md Salim,Khairuddin Osman,Siti Fatimah Sulaiman,M. I. A. Sabri +4 more
TL;DR: The developed system was successfully detect both the pH and turbidity values hence updating in IoT platform and offers fast and easy monitoring of pH and turidity levels with IoT application for continuous maintenance of clean water.
Journal Article
Control Strategies of Wastewater Treatment Plants
Mohd. Fua'ad Rahmat,Sharatul Izah Samsudin,Norhaliza Abdul Wahab,Sy Najib Sy Salim,Muhammad Sani Gaya +4 more
TL;DR: The objective of the current study is to investigate various control strategies implemented to wastewater treatment plants by analyzing the implementations of common control structures including feedback, feedforward-feedback, supervisory and hierarchical controls.
Proceedings ArticleDOI
Tracking performance and disturbance rejection of pneumatic actuator system
Sy Najib Sy Salim,Mohd. Fua'ad Rahmat,Ahmad Athif Mohd Faudzi,N. H. Sunar,Zool Hilmi Ismail,Sharatul Izah Samsudin +5 more
TL;DR: This paper investigates several control strategies that potential to perform well in regulating and tracking set point of pneumatic actuator system and able to reject disturbance.
Journal ArticleDOI
Comparison of NARX Neural Network and Classical Modelling Approaches
Muhammad Gaya Sani,Norhaliza Abdul Wahab,Yahya M. Sam,Sharatul Izah Samsudin,Irma Wani Jamaludin +4 more
TL;DR: Simulation results revealed that the performance of the NARX neural network is better compared to the ARMAX and ARX, and may serve as a valuable forecasting tool for the plants.