Search Results - (( motion optimization method algorithm ) OR ( based simulation model algorithm ))
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A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller
Published 2021“…Therefore, an optimization algorithm based on the explosion method called REA was proposed and implemented on the proposed Hybrid PD2-LQR control structure. …”
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Thesis -
2
PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation
Published 2009“…This paper presents an investigation into dynamic simulation and controller optimization based on genetic algorithms (GAs) for a single-link flexible manipulator system in vertical plane motion. …”
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Proceeding Paper -
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Implementation of PID based controller tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator
Published 2018“…This signifies that, the PSO algorithm is very effective in optimizing the PID parameters.…”
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Proceeding -
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An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…This study proposes a novel motion planning method for six-degree-of-freedom industrial robots based on DT technology. …”
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5
Liquid Slosh Control By Implementing Model-Free PID Controller With Derivative Filter Based On PSO
Published 2020“…Based on the simulation results, the suggested tuning method is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank without precisely model the chaotic motion of the fluid.…”
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Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO
Published 2020“…Based on the simulation results, the suggested tuning method is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank without precisely model the chaotic motion of the fluid.…”
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Bio-inspired snake robot locomotion: a CPG-based control approach
Published 2015“…This research shows a novel algorithm to generate online sinusoidal motion generation using CPG for planar space. …”
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Proceeding Paper -
8
Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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9
Development of data-driven controller for slosh suppression in liquid cargo vehicles
“…For the past decades, various control strategies of liquid slosh motion are based on model-based control schemes. Nevertheless, these methods are difficult to apply in practice. …”
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Research Report -
10
Vision based automatic steering control using a PID controller
Published 2006“…Initially, a collocated proportional-derivative (PD) controller utilizing hub-angle and hub-velocity feedback is developed for control of rigid-body motion of the system. This is then extended to incorporate iterative learning control with genetic algorithm (GA) to optimize the learning parameters and a feedforward controller based on input shaping techniques for control of vibration (flexible motion) of the system. …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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Performance of hybrid learning control with input shaping for input tracking and vibration suppression of a flexible manipulator
Published 2006“…Initially, A Collocated Proportional-Derivative (PD) Controller Utilizing Hub-Angle And Hub-Velocity Feedback Is Developed For Control Of Rigid-Body Motion Of The System. This Is Then Extended To Incorporate Iterative Learning Control With Genetic Algorithm (GA) To Optimize The Learning Parameters And A Feedforward Controller Based On Input Shaping Techniques For Control Of Vibration (Flexible Motion) Of The System. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
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Minimizing machining airtime motion with an ant colony algorithm
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