Search Results - (( development driving function algorithm ) OR ( java application reoptimize algorithm ))

Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive by Hannan M.A., Ali J.A., Mohamed A., Amirulddin U.A.U., Tan N.M.L., Uddin M.N.

A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive by Hannan M.A., Ali J.A., Hussain A., Hasim F.H., Amirulddin U.A.U., Uddin M.N., Blaabjerg F.

Optimization techniques to enhance the performance of induction motor drives: A review by Hannan M.A., Ali J.A., Mohamed A., Hussain A.

“…Computer circuits; Controllers; Drives; Electric drives; Electric motors; Fuzzy logic; Induction motors; Membership functions; Optimization; Problem solving; Vector control (Electric machinery); Conventional controllers; Fuzzy logic controllers; Indirect field oriented control; Induction motor drive; Optimization algorithms; Research and development; Scalar control; Trial-and-error procedures; Variable speed drives…”

Sliding Mode Speed Control for Induction Motor Drives with State-Dependent Gain Method by Sulaiman, Marizan, Ibrahim, Zulkifilie, Patakor, Fizatul Aini

“…In this research, the chattering phenomenon is significantly reduced by a newly developed algorithm. A fast sigmoid function with varying boundary layer algorithm is designed as a state-dependent to replace the discontinuous function in conventional sliding mode control. …”
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State-dependent sliding mode control for three-phase induction motor drives by Fizatul Aini, Patakor

“…In this research, this chattering phenomenon is significantly reduced by a newly developed algorithm. A fast sigmoid function with varying boundary layer algorithm is designed as a state-dependent to replace the discontinuous function in conventional sliding mode control as well as to avoid steady state error compare with the use of fixed boundary layer. …”
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Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

“…A series of algorithms in solving the inverse problem were then developed corresponding to the forward models. …”
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Driving school student management system by Tengku Diyana, Tengku Ibrahim

“…The ways the company manage their business are too complicated.Worst case comes when there are like a hundred of student to be managed in an hour, while the company Is currently short of workers to find each customer document to be updated.As a result,a system needs to be developed to replace the current system and enhance the company's performance of management.Driving School Student Management System is proposed to handle this job.The system is developed to handle the process of secured login using Rijndael symmetric encryption algorithm,registering new student,searching a student profile and also searching for student progress to be updated using simple linear sequential search algorithm.The expected result from this system is to get the correct output for each function and system is robust and free of error.…”
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A New State-Dependent of Sliding Mode Control for Three-Phase Induction Motor Drives by Sulaiman , Marizan, Fizatul Aini, Patakor, Ibrahim, Zulkifilie

“…First, an integral sliding mode control is developed. Then, a simple smooth function and switching gain with state-dependent based on fast sigmoid function is introduced. …”
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Extreme learning machine model for state-of-charge estimation of lithium-ion battery using gravitational search algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Saad M.H., Ayob A., Uddin M.N.

Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system by Retas, Zain

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Auto-Tuning Sliding Mode Contol For Induction Motor Drives by Patakor, Fizatul Aini, Jantan, Normah, Sulaiman, Marizan, Salleh, Zulhisyam

“…In this paper, this chattering phenomenon is significantly reduced by a newly developed algorithm. The control algorithm incorporates the adjustment of switching gain value and variation of the boundary layer to replace the discontinuous function in conventional sliding mode control. …”
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Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with PCA feature selection by Hossain Lipu M.S., Hannan M.A., Hussain A., Saad M.H.M.

Development Of Integrated Monitoring System For Re-Electric Vehicle by Kasrul, Abdul Karim, Md Nazri , Othman, Auzani , Jidin, Mohd Zulkifli, Ramli

“…The development of the system and its algorithm is described in this paper. …”
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Development of optimal energy management topology for battery electric vehicle with load segmentation by Tengku Mohd, Tengku Azman

“…Subsequently, the development of three driving modes in PMS via power scheme management has successfully represented the diversity in driving between the most-comfortable-driving with highest-power-usage (Comfort Mode) and the least-comfort-driving with lowest-power-usage (Economic Mode). …”
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Neural network approach for estimating state of charge of lithium-ion battery using backtracking search algorithm by Hannan M.A., Lipu M.S.H., Hussain A., Saad M.H., Ayob A.

Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

“…The use of B-spline interpolation function for curves and surfaces has been developed for many reasons. …”
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State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Blaabjerg F.

State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm by Lipu M.S.H., Ayob A., Saad M.H.M., Hussain A., Hannan M.A., Faisal M.

Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

“…Then, we consider the problem of chain collision avoidance as a Markov Decision Process problem in order to propose a reinforcement learning-based decision-making strategy and analyse the safety efficiency of existing methods in driving security. To address this, A reward function is being developed to deal with the challenge of multiple vehicle collision avoidance. …”
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Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

“…Then, we consider the problem of chain collision avoidance as a Markov Decision Process problem in order to propose a reinforcement learning-based decision-making strategy and analyse the safety efficiency of existing methods in driving security. To address this, A reward function is being developed to deal with the challenge of multiple vehicle collision avoidance. …”
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