A
Arslan Ahmed Amin
Researcher at National University of Computer and Emerging Sciences
Publications - 32
Citations - 404
Arslan Ahmed Amin is an academic researcher from National University of Computer and Emerging Sciences. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 5, co-authored 16 publications receiving 90 citations. Previous affiliations of Arslan Ahmed Amin include University of Engineering and Technology, Lahore.
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A review of Fault Tolerant Control Systems: Advancements and applications
TL;DR: In this article, a comprehensive state-of-the-art review of Fault Tolerant Control Systems (FTCS) is presented with the latest advances and applications with the aim of accommodating faults in the system components during operation and maintaining stability with little or acceptable degradation in the performance levels.
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Robust active fault-tolerant control for internal combustion gas engine for air–fuel ratio control with statistical regression-based observer model:
TL;DR: Results show that the proposed active fault-tolerant control system for air–fuel ratio control of internal combustion gas engine in a process plant to achieve greater reliability and availability to avoid a shutdown of the gas engine is robust to noise.
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Hybrid fault tolerant control for air–fuel ratio control of internal combustion gasoline engine using Kalman filters with advanced redundancy:
TL;DR: The study shows that the proposed hybrid fault tolerant control system with redundant components presents a novel and highly reliable solution for the air–fuel ratio control in internal combustion engines to prevent engine shutdown and production loss for greater profits.
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Advanced Fault Tolerant Air-Fuel Ratio Control of Internal Combustion Gas Engine for Sensor and Actuator Faults
TL;DR: A novel modified triple modular redundancy approach is proposed for the sensors to avoid a shutdown in the case of simultaneous faults in more than one sensor, and dual redundancy is suggested for the actuators to avoidA single point of failure due to the single actuator fault.
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A Comparative Analysis of Various Controller Techniques for Optimal Control of Smart Nano-Grid Using GA and PSO Algorithms
TL;DR: A smart switching algorithm has been introduced for switching between the generation resources in accordance with the load demand and cost of the system in order to operate the nano-grid more economically.