Search Results - (( using electro method algorithm ) OR ( using optimization _ algorithm ))
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Classical and metaheuristic optimizations performance in an electro-hydraulic control system
Published 2022“…A classical and metaheuristic optimization methods, which are gradient descent (GD) and particle swarm optimization (PSO) algorithm are used to obtaining the optimal gains of both controllers. …”
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The Effects Of Weightage Values With Two Objective Functions In iPSO For Electro-Hydraulic Actuator System
Published 2021“…The PID controller parameters will be tuned by using the iPSO algorithm to get the lowest overshoot percentage and steady-state error. …”
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A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…Particle Swarm Optimization has been used in the proposed algorithm to minimize the fitness function. …”
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Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
Published 2024“…The effectiveness of the proposed technique was assessed using Wilcoxon's rank test, which confirmed the superior performance of ASCA-GT compared to other metaheuristic optimization methods in determining the continuous-time Hammerstein model.…”
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Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems
Published 2025“…Performance metrics such as the objective functions statistics, the number of function evaluations (NFE), and time- and frequency-domain responses were used for evaluation. For the TRS, the N-SPSA improved the mean objective function by 18.09 % compared to the average multi-verse optimizer sine-cosine algorithm (AMVO-SCA) and 3.42 % compared to the norm-limited (NL-SPSA), while reducing the computational load by 60 % compared to the AMVO-SCA. …”
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A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Published 2010“…Further, GSA has been compared with a third-order correlation (TOC) method, using both realistic simulation and real patient data gathered in a hospital. …”
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Traditional and higher order sliding mode control of MEMS optical switch
Published 2010“…Tuning the parameters of the controllers is carried out by using particle swarm optimization (PSO) method instead of conventional try and error. …”
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Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm
Published 2007“…Proposed method uses horizontal EOG (HEOG), vertical EOG (VEOG), and EMG signals as three reference digital filter inputs. …”
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Self-tuning control of an electro-hydraulic actuator system
Published 2011“…Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. …”
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Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
Published 2014“…An active method which has received much attention is the use of Active Noise Control (ANC) system which involves an electro acoustic system that cancels unwanted noise using the principle of superposition. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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Modeling and Position Control of Fiber Braided Bending Actuator Using Embedded System
Published 2023“…Data from the system input and output are used by the black box method. Thus, the voltage supplied to the electro-pneumatic regulators and the position (angle) of the FBBA system are used to collect input–output data in this study. …”
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