Search Results - (( model validation force algorithm ) OR ( self regulation based algorithm ))
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1
Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model
Published 2022“…The model was presented, formulated, and validated through a fire evacuation simulation. …”
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2
Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was validated by comparing the output force of PSCA with the experimental target force from load cell (reference). …”
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3
Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. …”
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4
Mathematical modelling of mass transfer in multi-stage rotating disc contactor column
Published 2006“…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later re¯ned to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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Monograph -
5
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure
Published 2004“…However, GMN is not ergonomic due to too many network control parameters. Therefore, a self-regulating GMN (SGMN) algorithm is proposed. …”
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6
PID Tuning Method Using Chaotic Safe Experimentation Dynamics Algorithm for Elastic Joint Manipulator
Published 2021“…This paper proposed the chaotic safe experimentation dynamics algorithm (CSEDA) to regulate angular tracking and vibration of the self-tuning PID controller for elastic joint manipulators. …”
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7
Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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8
Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
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9
Integration of dual intelligent algorithms in shunt active power filter
Published 2013“…This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). …”
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Conference or Workshop Item -
10
Online harmonic extraction and synchronization algorithm based control for unified power quality conditioner for microgrid systems
Published 2022“…Besides, the ability of self-regulating transition from islanded mode to grid-connected mode has ensured that uninterrupted power supply is provided to the critical loads. …”
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11
Nonlinear dynamic system identification and control via self-regulating modular neural network
Published 2003“…An endeavor is made in this paper to describe a self-regulating constructive multi-model neural network called Self-regulating Growing Multi-Experts Network (SGMN) that can approximate an unknown nonlinear function from observed input-output training data. …”
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12
Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches
Published 2018“…The established extrusion force model was then taken as the fitness function. …”
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13
Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation
Published 2022“…As the current classical evacuation model, the Social Force Model lacks decision-making ability for finding the best directions towards an exit. …”
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Proceeding -
14
Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation
Published 2025“…This study develops and validates a force feedback control system for automotive pedals utilizing an optimized PID controller using the hybrid Spiral Sine-Cosine algorithm (SSCA). …”
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15
Impact of external forces on the quality of digital elevation model derived from drone technology
Published 2019“…More analysis was carried out with a proposed model to reveal the impact of AP on the resulting DEMs. …”
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16
Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper
Published 2019“…PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. The effectiveness of the ACO algorithm is validated by comparing its performance with Ziegler-Nichols (Z-N) and particle swarm optimization (PSO). …”
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17
Optimal tuning of sigmoid PID controller using nonlinear sine cosine algorithm for the automatic voltage regulator system --- KIV (status in press)
Published 2021“…In addition, the parameters of the proposed SPID controller are obtained using an enhanced self-tuning heuristic optimization method called Nonlinear Sine Cosine Algorithm (NSCA), for achieving a better dynamic response, particularly with regards to the steady-state errors and overshoot of the system. …”
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18
Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih
Published 2019“…Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. …”
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19
Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms
Published 2017“…Finally, to validate the developed model, actual data were conducted in different experimental run. …”
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20
Approximate predictive versus self-tuning adaptive control strategies of biodiesel reactors
Published 2009“…The generated nonlinear model was then utilized in an instantaneous linearization algorithm using two control algorithms adopting the self-tuning adaptive control and an approximate model predictive framework. …”
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