Search Results - (( convention identification system algorithm ) OR ( wave optimization bat algorithm ))
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Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems
Published 2024“…The AOA-based 2DOF-TIDN performance is compared to the following algorithms: genetic, Jaya, bat, grasshopper optimization, particle swarm optimization, and moth flame optimization. …”
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Originality/value – This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model.…”
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Iterative closed-loop identification of MIMO systems using ARX-based Leaky Least Mean Square Algorithm
Published 2014“…Closed-loop identification of MIMO systems is considered. An iterative Leaky Least Mean Squares (LLMS) algorithm is proposed for the development of ARX structure. …”
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Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…This input-output data was then applied in a system identification method, which used an evolutionary algorithm with a linear autoregressive with exogenous (ARX) model structure to generate a dynamic model of the system. …”
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5
Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…This input-output data was then applied in a system identification method, which used an evolutionary algorithm with a linear autoregressive with exogenous (ARX) model structure to generate a dynamic model of the system. …”
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Comparative study between ARX and ARMAX system identification
Published 2017“…System identification is divided into different algorithms. …”
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MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
Published 2017“…Channel isolation usmg partial correlation analysis and estimation of model parameters in the conventional multivariable closed-loop system identification approaches use the method of Least Square (LS) with the limitations, viz. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…he genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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Thermoelectric cooler identification based on continuous-time hammerstein model using metaheuristics algorithm
Published 2021“…In the identification, a continuous-time linear system is used, which is more suitable for representing any real plant. …”
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11
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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Simultaneous computation of model order and parameter estimation for system identification based on opposition-based simulated Kalman filter
Published 2018“…Simultaneous Model Order and Parameter Estimation (SMOPE) has been proposed to address system identification problem efficiently using optimization algorithms. …”
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A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
Published 2021“…This paper presents a new hybrid identification algorithm called the Average Multi-Verse Optimizer and Sine Cosine Algorithm for identifying the continuous-time Hammerstein system. …”
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15
Fuzzy modelling for distillation column
Published 2005“…Fuzzy system's ability of extracting information from measured data has been exploited for identification of nonlinear and complex system. …”
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Opposition- based simulated kalman filters and their application in system identification
Published 2017“…This technique can be an alternative approach to solve system identification problem, apart from using conventional method.…”
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Thesis -
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Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
Published 2011“…Abstract In this paper the integration of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters (OBF) and a nonlinear feedforward (MLP) NN model is used and applied to the nonlinear Van de Vusse reactor. …”
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Real time electrocardiogram identification with multi-modal machine learning algorithms
Published 2017“…Weaknesses in conventional identification technologies such as identification cards, badges and RFID tags prompts attention to biometric form of identification. …”
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Proceeding Paper -
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Modelling of Flexible Manipulator System Using Flower Pollination Algorithm
Published 2020“…It is reveals that the performance of intelligence algorithm is superior than conventional algorithm.…”
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Wavelet network based online sequential extreme learning machine for dynamic system modeling
Published 2013“…The proposed model used as system identification for nonlinear dynamic systems. …”
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