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Active Suspension System for Passenger Vehicle using Active Force Control with Iterative Learning Algorithm by Rosmazi, Rosli, Musa, Mailah, Priyandoko, Gigih

“…The overall control system essentially comprises three feedback control loops to cater for a number of specific tasks; the innermost loop for the force tracking of the pneumatic actuator using a PI controller, the intermediate loops implementing AFC with IL algorithm strategy for the compensation of the disturbances, and the outermost loop using a PID controller for the computation of the desired force. …”
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Intelligent active force control of a robotic arm using genetic algorithm by Mailah, Musa, Wong, Min Yee, Jamaluddin, Hishamuddin

“…In this paper, genetic algorithm (GA) is used to estimate suitable value of IN of a robotic manipulator necessary for the implementation of the AFC strategy through a simulation study. …”
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Practical implementation of skyhook and adaptive active force control to an automotive suspension system by Priyandoko, Gigih, Musa, Mailah, Jamaluddin, Hishamuddin

“…The paper focuses on the practical implementation of a new robust control method to an automotive active suspension system using skyhook and adaptive active force control (SANAFC) strategy. …”
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An intelligent method to estimate the inertia matrix of a robot arm for active force control using on-line neural network training scheme by Hussein, Shamsul Bahri, Jamaluddin, Hishamuddin, Mailah, Musa

“…The results of the training and implementation stages are shown and discussed. It is shown that the proposed controller scheme is very effective and robust. …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong by Soong, Ming Foong

“…Then, switching algorithms were implemented to the inerter to evaluate potential further ride performance improvement brought by these modifications. …”
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General algorithms for 3-D motion of a non-planar body in a steady-state force field by M.Pratt, Ronald, Khairil Mazwan Mohamad Zaini

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Implementation of motion planning and active force control to a virtual wheeled mobile robot by Tang, Howe Hing

“…A robust active force control (AFC) strategy is incorporated as the WMR motion controller that can accommodate effective disturbance compensation control action in order to produce accurate trajectory tracking task even in the wake of the modelled disturbances. …”
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Hardware-in-the-Loop Simulation for Active Force Control with Iterative Learning Applied to an Active Vehicle Suspension System by Rosmazi, Rosli, Musa, Mailah, Priyandoko, Gigih

“…The paper focuses on the practical implementation of a novel control method to an automotive suspension system using active force control (AFC) with iterative learning algorithm (ILA) and proportional-integral-derivative (PID) control strategy. …”
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Randomized pixel selection for enhancing LSB algorithm security against brute-force attack by Mohamad Afendee, Mohamed, Ammar, Y. Tuama, Mohamad, A. Mohamed, Abdullah, Muhammed, Zurina, M. Hanapi

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A new algorithm on Graphical User Authentication (GUA) based on multi-line grids by Lashkari, Arash Habibi, Gani, Abdullah, Sabet, Leila Ghasemi, Farmand, Samaneh

“…Finally, a comparison of the newly proposed algorithm and previous algorithms will be evaluated in a table.…”
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Discretization of crack propagation on parallel computing: complexity and parallel algorithms with source code by Alias, Norma, Islam, Md. Rajibul

“…In this book, the performance measurements of algorithm are presented in terms of speedup, efficiency, effectiveness and temporal performance.…”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Shamshirgaran, S. Reza, Ameri, M, Khalajiassadi, Morteza, Ahmadi, M. Hossein

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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

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Discretization of crack propagation on parallel computing : complexity and parallel algorithms with source code by Alias, Norma, Islam, Md. Rajibul

“…In this book, the performance measurements of algorithm are presented in terms of speedup, efficiency, effectiveness and temporal performance.…”
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Fuzzy-PID controller for semi-active vibration control using magnetorheological fluid damper by Kasemi, Banna, Abdul Muthalif, Asan Gani, Muhammad , Mahbubur Rashid, Fathimah, Sharmila

“…In this paper, the behavior of MR damper is studied and used in implementing vibration control. The force-displacement and force-velocity response with varying current has been established for the MR damper. …”
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Intelligent material handling mobile robot for industrial purpose with active force control capability by Mailah, Musa, Jamaluddin, Hishamuddin, Pitowarno, Endra, Purnomo, Didik Setyo

“…The study emphasizes on the integrated kinematic and dynamic control strategy of the schemes in which the former serving as the outer most control loop is used to manipulate the trajectory components while the latter constituting the inner active force control (AFC) loop is implemented to compensate the dynamic effects including the bounded known or unknown disturbances and uncertainties while the system is executing trajectory tracking tasks. …”
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Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishing by Haohao, Ma, As’arry, Azizan, Jing, Niu, Ismail, Mohd Idris Shah, Ramli, Hafiz Rashidi, Zuhri, M. Y.M., Delgoshaei, Aidin

“…An adaptive impedance control strategy is implemented to enhance force control, and PD iteration and RBF neural networks are used to ensure stable contact force and accuracy. …”
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Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper by Rahman, Mahmudur, Ong, Zhi Chao, Chong, Wen Tong, Julai, Sabariah

“…PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. The effectiveness of the ACO algorithm is validated by comparing its performance with Ziegler-Nichols (Z-N) and particle swarm optimization (PSO). …”
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Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation by Azrul Azim, Abdullah Hashim, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi

“…The study confirms that SSCA-tuned PID control can be effectively implemented in real-life applications, particularly in force control pedal vehicles, with potential benefits including reduced driver fatigue due to the repetitive actions of pressing and releasing the vehicle pedal. …”
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