Search Results - (( intelligence 1 method algorithm ) OR ( intelligence a force algorithm ))
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Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm
Published 2020“…To overcome this problem, an intelligent optimization method known as firefly algorithm (FA) was used by this study to optimize the force tracking controller (FTC) parameters as to achieve the exact damping force of MR damper system. …”
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Proceeding -
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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
Published 1999“…This paper presents a new intelligent controller algorithm comprising an on-line multi-layer artificial neural network (ANN) training scheme to estimate the inertia matrix of the robot arm to enhance the performance of the active force control (AFC) scheme. …”
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Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System
Published 2021“…Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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Development of a robust intelligent controller for a semi-active car suspension system
Published 2022“…This research examines Magneto-rheological (MR) fluid damper with a Fuzzy-PID controller, one of the most extensively intelligent semi-active suspension system's actuators researched. …”
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Active force control with iterative learning control algorithm for a vehicle suspension
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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Performance Comparison Of Intelligent Tuning Methods Using Pid-Afcga And Pid-Afcpso In Attenuating The Vibration Of The Suspended Handle Model
Published 2021“…An effective vibration control system is necessary to suppress the vibration of the power tools, whereby vibration control through active force control (AFC) is proven to be a feasible method from the previous research. …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The traditional calibration process for FlexiForce sensor used is a time-consuming task because it is usually done through manual and repetitive identification [1, 2]. …”
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Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation
Published 2022“…Thus, this research proposes optimization using the one of the latest nature inspired algorithm namely WOABAT-IFDO (Whale-Bat and Improved Fitness-Dependent Optimization) in the SFM interaction component. …”
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Proceeding -
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Analysis of Motion Detection using Social Force Model
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A review of classification techniques for electromyography signals
Published 2023“…Machine Learning (ML) is an area of Artificial Intelligent (AI) with a concept that a computer program can learn and familiarize to new data without human intervention. …”
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Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach
Published 2024“…This comparison indicates that the intelligent controller, PID-PSO showed a significant improvement as compared to the conventional controller, PID-ZN. …”
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Performance Comparison Of AFC-CA, AFC-GA, AFC-PSO And AFC-NN In Reducing The Vibration Of Suspended Handle Model
Published 2022“…As a conclusion, AFC with intelligent tuning methods is an advantageous way for vibration attenuation of suspended handle.…”
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Monograph -
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Minimization of tool path length of drilling process using particle swarm optimization (PSO)
Published 2020“…In various publications and articles, scientists and researchers adapted several methods of artificial intelligence (AI) or hybrid optimization method for tool path artificial immune system (AIS), genetic algorithms (GA), Artificial Neural networks (ANN) Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) (Narooei and Ramli, 2014). …”
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Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
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