Search Results - (( model simulation modified algorithm ) OR ( _ identification using algorithms ))*
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1
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. …”
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2
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. …”
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3
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The issue of model parsimony is also addressed, and the model is validated using correlation tests. …”
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4
System identification using Extended Kalman Filter
Published 2017“…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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5
Simulated real-time controller for tuning algorithm using modified hill climbing approach
Published 2014“…Although all adaptive control tuning methodologies depend partially or completely on online plant system identification, the proposed method uses only the model that is used to design the original controller, leading to simplified calculations that require neither high processing power nor long processing time, as opposed to identification techniques calculations. …”
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6
Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Working Paper -
7
MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
Published 2017“…In this thesis. iterative Leaky Least Mean Squares (LLMS) based methods are proposed to address the limitations ofLS method in MultiInput Multi-Output (MIMO) closed-loop system identification. In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
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8
Autotuning PID Controllers for Quadplane Hybrid UAV using Differential Evolution Algorithm
Published 2024“…The unified RBF model is then used for autotuning the PID controller using the DE algorithm. …”
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9
Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation
Published 2015“…The proposed hardware simulator will enhance researchers and hardware validators to simulate, validate and test their detection algorithms forehand, as well as for clinicians to use this system for training as well as for academic exercises. …”
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10
Autotuning PID Controllers for Quadplane Hybrid UAV using Differential Evolution Algorithm
Published 2024“…The unified RBF model is then used for autotuning the PID controller using the DE algorithm. …”
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11
Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)
Published 2006“…Shewhart Control Chart (SCC) and Range Control Chart (RCC) are used with the developed correlation coefficients for FDD. The developed FDD algorithm was implemented on a simulated distillation column which is a single equipment process. …”
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Monograph -
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EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation
Published 2015“…The proposed hardware simulator will enhance researchers and hardware validators to simulate, validate and test their detection algorithms forehand, as well as for clinicians to use this system for training as well as for academic exercises. …”
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Citation Index Journal -
13
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…The methodology encompasses data acquisition, GA program development, SPM technique implementation, and simulation using MATLAB. The study simulated single-input-single-output (SISO) models: ARX and NARX. …”
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Thesis -
14
OPTIMIZATION OF HYBRID-FUZZY CONTROLLER FOR SERVOMOTOR CONTROL USING A MODIFIED GENETIC ALGORITHM
Published 2011“…The servomotor's transfer function is obtained via system identification and is modelled using MATLAB commands. …”
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15
Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…First, it presents the implementation of the cap constitutive model into ABAQUS FE software using the closest point projection algorithm. …”
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16
Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
Published 2009“…The proposed method formulates a modified inertia weight algorithm by using a dynamic spread factor (SF). The inertia weight plays an important role in terms of balancing both the global and local search. …”
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Proceeding Paper -
17
Robust Estimation Methods And Outlier Detection In Mediation Models
Published 2010“…We suggest an alternative method for identification of high leverage points in the mediation model. …”
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18
Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…The third methodology is to integrate the proposed controller on FPGA, using a new method to run the design based simulink model. …”
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19
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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20
Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system
Published 2023“…Firstly, to identify the mathematical model of machine tool for XY table using system identification technique through frequency response function (FRF) of the system. …”
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