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  1. 1
    An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery

    An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery by Wan Hasbullah, Mohd Isa, Zahari, Taha, Ismail, Mohd Khairuddin, Anwar, P. P. A. Majeed, Khairul Fikri, Muhammad, Ali, Mohammed A. H., Jamaluddin, Mahmud, Zulkifli, Mohamed

    Published 2016
    “…This paper presents the modelling and control of a two degree of freedom upper extremity exoskeleton by means of an intelligent active force control (AFC) mechanism. …”
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  2. 2
    An Intelligent System Approach to the Dynamic Hybrid Robot Control

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…This was because a robot can be seen as a physical intelligent system which interacts with the real world environment by means of its sensors and actuators. …”
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  3. 3
    Development of a robust intelligent controller for a semi-active car suspension system

    Development of a robust intelligent controller for a semi-active car suspension system by Abas, Hesham Ahmed Abdul Mutleba

    Published 2022
    “…Semi-active suspension systems outperformed passive and active suspension systems because it contains an intelligent actuator that can give the appropriate force to dissipate unwanted vibration using intelligent and real-time controllers. …”
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  4. 4
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…Developing an intelligent wearable robotic hand glove system based on PSCA with self-calibration feature of grasping mechanism is implemented. …”
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  5. 5
    Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach

    Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach by Aida Suriana, Abdul Razak

    Published 2024
    “…In controllers’ development, the research employed both conventional and intelligent Proportional–Integral–Derivative (PID) based controllers. …”
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  6. 6
    A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering

    A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering by Kamil Zakwan, Mohd Azmi, Nurul Afiqah, Zainal, Muhammad Aizzat, Zakaria, Anwar, P. P. Abdul Majeed

    Published 2021
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  7. 7
    The Control of an Upper-Limb Exoskeleton by Means of a Particle Swarm Optimised Active Force Control for Motor Recovery

    The Control of an Upper-Limb Exoskeleton by Means of a Particle Swarm Optimised Active Force Control for Motor Recovery by Anwar, P. P. Abdul Majeed, Zahari, Taha, Ismail, Mohd Khairuddin, Mohd Yashim, Wong Paul Tze, Muhammad Amirul, Abdullah, Mohd Azraai, M. Razman

    Published 2017
    “…A proportionalderivative (PD) architecture is employed to investigate its efficacy in performing joint-space control objectives namely the flexion/extension of the elbow joint as well as the forward adduction/abduction on the shoulder joint. An intelligent active force control (AFC) optimised by means of the Particle Swarm Optimisation (PSO) algorithm is also incorporated into the aforementioned controller to examine its effectiveness in compensating disturbances. …”
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  8. 8
    Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel

    Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel by Zamri, Ruzaidi

    Published 2016
    “…Second part is to obtain the optimum polishing parameter by using artificial intelligence technique which is able to predict the grit size, polishing time and polishing force parameter to remove the scratch by polishing process. …”
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  9. 9
    Triple nonlinear hyperbolic PID with static friction compensation for precise positioning of a servo pneumatic actuator

    Triple nonlinear hyperbolic PID with static friction compensation for precise positioning of a servo pneumatic actuator by Abdullah, Lokman, Kamaludin, Khairun Najmi, Syed Salim, Syed Najib, Rafan, Nur Aidawaty, Jamaludin, Zamberi, Rahmat, Mohd Fua'ad, Ramanathan, Rprakash

    Published 2023
    “…The final controller is also on par with T-NPID for transient responses compared to the base PID. Although the FSS model caters to friction compensation, optimizing the FSS parameter by applying artificial intelligence, such as Neural Networks (NN) and Genetic Algorithm (GA), will increase the friction modeling‘s accuracy, and improve the compensation…”
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  10. 10
    A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed

    A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed by Tengku Mohamed, Tengku Luqman

    Published 2016
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  11. 11
    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility

    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility by Roshahliza, M. Ramli, Salina, Abdul Samad, Noor, Ali O. Abid

    Published 2018
    “…Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. …”
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  12. 12
    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE)

    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE) by Saiful Anuar, Abu Bakar, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba

    Published 2012
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  13. 13
    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation

    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation by Hossen J., Sayeed S., Iqbal A.K.M.P.

    Published 2023
    “…Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algorithms; Hybrid-fuzzy controllers; Mobile Robot Navigation; Subtractive clustering; Subtractive clustering algorithms; Clustering algorithms…”
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  14. 14
    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS

    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS by FIRAS BASIM, ISMAIL ALNAIMI

    Published 2011
    “…The second intelligent monitoring system represents mergmg of genetic algorithms and artificial neural networks as a hybrid intelligent system. …”
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  15. 15
    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms

    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…For the objective of classifying FI in terms of fraud or not, the Intelligent Information System for Financial Institutions (IISFI) relying on Supervised ML (SML) Algorithms has been created in this work. …”
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  16. 16
    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim

    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan

    Published 2008
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  17. 17
    Active force control with iterative learning control algorithm for a vehicle suspension

    Active force control with iterative learning control algorithm for a vehicle suspension by Rosmazi, Rosli

    Published 2013
    “…ILC algorithm is implemented into AFC-based control scheme to reduce its complexity and hence faster response, by replacing the use of artificial intelligence (Al) method as proposed by previous researcher. …”
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  18. 18
    MOTION PLANNING ALGORITHM FOR VEHICLE PARKING SIMULATION

    MOTION PLANNING ALGORITHM FOR VEHICLE PARKING SIMULATION by Mohd Hilmi, Amirul Ehsan

    Published 2008
    “…Intelligence of the system means that the car is capable of analyzing its own environment and act accordingly to it as a human being would do. …”
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  19. 19
    An intelligent system based on kernel methods for crop yield prediction

    An intelligent system based on kernel methods for crop yield prediction by Majid Awan, A., Md. Sap, Mohd. Noor

    Published 2006
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  20. 20
    An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach

    An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach by Najeeb, Mushtaq, Muhamad, Mansor, Ramdan, Razali, Hamdan, Daniyal, Ali, Mahmood

    Published 2017
    “…This study associates an intelligent voltage controller based PI approach for PV electrical inverter by employing a meta-heuristic optimization algorithmic called a Simulated Annealing (SA) algorithm. …”
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