Search Results - (( motion realization _ algorithm ) OR ( parameter adoption bat algorithm ))*

Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization by Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Sukant Kishoro Bisoy, Sandeep Kautish, Muzaffar Hamzah, Muhammed Basheer Jasser, Ali Wagdy Mohamed

“…It adopts a population-based and local search algorithm to exploit the advantages of bats’ echolocation. …”
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Frequency stabilization in interconnected power system using bat and harmony search algorithm with coordinated controllers by K., Peddakapu, M. R., Mohamed, P., Srinivasarao, P.K, Leung

“…To enhance the outcome of the proposed 2DOF–TIDN controller, its gain parameters are optimized with the use of a newly designed hybrid bat algorithm-harmony search algorithm (hybrid BA–HSA) technique. …”
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

“…Unlike most existing meta-heuristic algorithms, and by virtue of being parameter-free, TLBO does not have any specific parameter controls. …”
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Automatic pan-tilt camera positioning system for motion tracking by Wong, Teck Chang

“…The technique implemented to realize the pan-tilt camera positioning system is an open-loop control called coordinate to motion unit translation. …”
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A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition by Koh J.S., Tan R.H.G., Lim W.H., Tan N.M.L.

“…Extensive studies prove the proposed algorithm outperforms bat algorithm (BA), improved grey wolf optimizer (IGWO), conventional PSO and P&O, with convergence time shorter than 0.3 s and tracking accuracy above 99% under different complex PSCs. � 2010-2012 IEEE.…”

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

“…The research focuses on the development of a virtual wheeled mobile robot (WMR) simulator that integrates the essential aspects of motion planning, motion control and virtual reality (VR) technique. …”
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Tracking Control Of Vertical Pneumatic Artificial Muscle System Using Pid by Ming Hui, Tan, Shin Horng, Chong, Teng Fong, Tan, Ahmad Zaki, Shukor, Sakthivelu, Vasanthan, T.C., Ma, Mohamad Riduwan, Md Nawawi

“…However, the air compressibility and the lack of damping ability of PAM bring dynamic delay to the pressure response and causes oscillatory motion to occur. It is not easy to realize the motion with high accuracy and high speed due to all the non-linear characteristics of pneumatic system. …”
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Enhanced-PID Control Based Antagonistic Control For Pneumatic Artificial Muscle Actuators by Tan, Ming Hui

“…The effectiveness of the proposed control algorithm is validated in sinusoidal continuous motion. …”
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A step towards the development of VHDL model for ANN based EMG signal classifier by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. …”
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Autonomous mobile robot using myRIO by Yong, Zong Wei

“…In this project, the research study is conducted to develop an autonomous mobile robot algorithm with implementation of dynamic modelling using Newton-Euler approach. …”
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A Review on the Development of Indonesian Sign Language Recognition System by Jasni, Mohamad Zain, Sutarman, na, Mazlina, Abdul Majid

“…Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. …”
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PID-PSO DC motor position controller design for ankle rehabilitation system by Azizi, Muhammad Azizul Raziq

“…This rotary encoder sensor device converts rotary motion into electrical signals or pulse signals to count per revolution of the gearbox output shaft. …”
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Underactuated control for an autonomous underwater vehicle with four thrusters by Zainah, Md. Zain

“…Then,the Astolfi's discontinuous control approach is applied for such second-order chained forms.The present method can only realize partially underactuated control, which controls five states out of six states by using four inputs.The derived results are specialized to an X4-AUV but,in principle,analogous results can be obtained for vehicles with similar dynamics. …”
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