Search Results - (( java application using algorithm ) OR ( parameter tuning models algorithm ))

Stability augmentation system of active suspension system in electric vehicle conversion: Towards optimal ride comfort performance by Saiful Anuar, Abu Bakar, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin

Get full text

SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR by FUNG , CHUN TING

“…This project aims to develop the algorithm for the tuning method that based on Nyquist Stability Criterion and at later stage build a Neural Network Model to predict the tuning parameters for the PID controller. …”
Get full text
Get full text

Development and tuning of bacteria foraging optimization algorithm on cell formation in cellular manufacturing system by Nouri, Hossein, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, Baharudin, B. T. Hang Tuah, Samin, Razali

“…In this paper, an attempt is made to tuning chemo tactic and swarming steps parameters meanwhile taking into consideration bacteria foraging optimization algorithm convergence speed and performance. …”
Get full text
Get full text
Get full text

Self-tuning control of an electro-hydraulic actuator system by Ghazali, Rozaimi, Md Sam, Yahaya, Rahmat, Mohd Fua'ad, Jusoff, Kamaruzaman, Zulfatman, Mohd Hashim, Abd Wahab Ishari

“…A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed control algorithm can adapt the changes occur in model parameters compared with the fixed controller. …”
Get full text
Get full text
Get full text

Adaptive-model based self-tuning generalized predictive control of a biodiesel reactor / Ho Yong Kuen by Ho, Yong Kuen

“…Based on the evolution of the process dynamics given by the VFF-RLS algorithm in the form of First Order Plus Dead Time (FOPDT) model parameters, the move suppression weight for the AS-GPC was recalculated automatically at every time step based on the analytical tuning expressions. …”
Get full text
Get full text

Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Ayop Azmi, Nurnajmin Qasrina Ann, Pebrianti, Dwi, Abas, Mohammad Fadhil, Bayuaji, Luhur

“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper�parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
Get full text
Get full text
Get full text
Get full text

Simulated real-time controller for tuning algorithm using modified hill climbing approach by Ahmed, Ahmed Abdulelah

“…That led to new ways to tackle old problems like model inaccuracies and inconsistencies. Often, it is necessary to calibrate a certain parameters of a control system due to plant parameters fluctuation over time.In this research, an intelligent algorithmic tuning technique suitable for realtime system tuning based on hill climbing optimization algorithm and model reference adaptive control system (MRAC) technique is proposed. …”
Get full text
Get full text

Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur

“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper-parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
Get full text
Get full text
Get full text

Application Of Binary Firefly Algorithm (BFA) In Tuning PID Parameters For Couple Tank System by Azahar, Arman Hadi, Samsudin, Adam, Zainal Abidin, Amar Faiz, Harun, Mohamad Haniff, Azmi, Ezzatul Farhain, Karis, Mohd Safirin, Yep, Kow Wai, Mohd. Nordin, Ili Najaa Aimi

“…This paper presents the application of the Binary Firefly Algorithm (BFA) in tuning PID parameters for a coupled tank system. …”
Get full text
Get full text
Get full text

Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

“…SED offers memory-based features and effectiveness to perform with lesser computation time to overcome a range of optimization problems, even for high-dimensional parameter tuning. Moreover, other than the memory-based feature, SED algorithm has fewer design parameters to be addressed and the independence of the gain sequence in the tuning process. …”
Get full text
Get full text

Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

“…SED offers memory-based features and effectiveness to perform with lesser computation time to overcome a range of optimization problems, even for high-dimensional parameter tuning. Moreover, other than the memory-based feature, SED algorithm has fewer design parameters to be addressed and the independence of the gain sequence in the tuning process. …”
Get full text
Get full text

A Comparison Study Between Two Algorithms Particle Swarm Optimization for Depth Control of Underwater Remotely Operated Vehicle by Mohd Aras, Mohd Shahrieel, Jaafar, Hazriq Izzuan, Razilah , Abdul Rahim, Ahmad , Arfah

Get full text
Get full text
Get full text

PSO fined-tuned model-free PID controller with derivative filter for buck-converter driven DC motor by Mohd Zaidi, Mohd Tumari, Amar Faiz, Zainal Abidin, A Shamsul Rahimi, A Subki, Ab Wafi, Ab Aziz, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The speed of DC motor is controlled by PIDF controller. The parameters of PIDF controller are fine-tuned by implementing PSO algorithms. …”
Get full text
Get full text
Get full text

Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System by Ismail, Mohd Khairuddin, Amira Sarayati, Ahmad Dahalan, Amar Faiz, Zainal Abidin, Yee, Yang Lai, Nur Anis, Nordin, Siti Fatimah, Sulaiman, Hazriq Izzuan, Jaafar, Syahrul Hisham, Mohamad, Noor Hafizah, Amer

Get full text
Get full text
Get full text

Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning Of PID Controller in Industrial Couple Tank System by Mohd Khairuddin, Ismail, Ahmad Dahalan, Amira Sarayati, Zainal Abidin, Amar Faiz, Yee, Yang Lai, Nordin, Nur Anis, Siti Fatimah, Sulaiman, Jaafar, Hazriq Izzuan, Mohamad, Syahrul Hisham, Amer, Noor Hafizah

Get full text
Get full text

Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant by Rahmat, Mohd Fua'ad, Rahmat, Mohd Fuaad, Abdul Wahab, Norhaliza, Che Razali, Mashitah, Gaya, Muhammad Sani, Samsudin, Sharatul Izah

“…The error function is minimized directly by approximate Frechet tuning algorithm without explicit estimation of the model. …”
Get full text
Get full text
Get full text

Application of Binary Firefly Algorithm (BFA) in tuning PID parameters for couple tank system by Azahar, Arman Hadi, Samsudin, Adam, Yep, Kow Wai, Zainal Abidin, Amar Faiz, Rifin, Rozi, Harun, Mohammad Haniff, Karis, Mohd. Safirin, Azmi, Ezzatul Farhain, Mohd. Nordin, Ili Najaa Aimi

“…This paper presents the application of the Binary Firefly Algorithm (BFA) in tuning PID parameters for a coupled tank system. …”
Get full text
Get full text

Implementation of PID based controller tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator by Annisa, Jamali, Intan Zaurah, Mat Darus, Shahrol, Mohamaddan, Mohammad Osman, Tokhi

Get full text
Get full text
Get full text

PSO Fined-Tuned Model-Free PID Controller With Derivative Filter For Buck-Converter Driven Dc Motor by Mohd Tumari, Mohd Zaidi, Zainal Abidin, Amar Faiz, A Subki, A Shamsul Rahimi, Ab Aziz, Ab Wafi, Ahmad, Mohd Ashraf, Ghazali, Mohd Riduwan

“…The speed of DC motor is controlled by PIDF controller. The parameters of PIDF controller are fine-tuned by implementing PSO algorithms. …”
Get full text
Get full text
Get full text

Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali

“…The aim of this paper is to develop the data-driven control based on marine predators algorithm (MPA) for fine-tuning the controller parameters of a single row of ten turbines in improving the wind plant power production according to the reference power. …”
Get full text
Get full text
Get full text
Get full text