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Hammerstein model

Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA) System

Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA) System

... using Hammerstein model based a Recursive Least Square (RLS) ...the model of IPA system used in this ...a Hammerstein model was represented by valve deadzone and third-order ARX ...

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Hammerstein Model for Speech Coding

Hammerstein Model for Speech Coding

... the Hammerstein model can be viewed as a preprocessor, turning the nonlinear task of speech modeling into a linearly solvable ...proposed Hammerstein model can be built on an ...

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System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)

System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)

... nonlinear model of a quarter car passive suspension system. The car model is derived using Hammerstein ...The Hammerstein cascade can be a useful model, especially when representing ...

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A New Identification Approach of MIMO Hammerstein Model with Separate Nonlinearities

A New Identification Approach of MIMO Hammerstein Model with Separate Nonlinearities

... generalized Hammerstein model con- sisting of a static polynomial function in series with time-varying linear model is developed in order to model the Hammerstein-like multivariable ...

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Recursive Identification of Hammerstein Systems with Polynomial Function Approximation

Recursive Identification of Hammerstein Systems with Polynomial Function Approximation

... Abstract: Nonlinear system identification is considered, where the nonlinear static function was approximated by a number of polynomial functions. It is based on a piecewise-linear Hammerstein model, which ...

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An Adaptive Nonlinear Filter for System Identification

An Adaptive Nonlinear Filter for System Identification

... We have proposed a new adaptive filtering algorithm for the Hammerstein model filter based on the theory of Affine Projections. The new algorithm minimizes the norm of the projected weight error vector as a ...

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Synthesis of the model of the socio economic system

Synthesis of the model of the socio economic system

... the model is based on the minimization of the functional, which is the distance in the functional space with the quadratic metric between the real output signal and the theoretical signal containing the unknown ...

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Identification of MIMO Hammerstein models using Singular Value Decomposition approach

Identification of MIMO Hammerstein models using Singular Value Decomposition approach

... MIMO Hammerstein model depending on whether the nonlinearities are separate or combined [2, ...MIMO Hammerstein model with separate nonlinearities will be considered in this paper (figure ...

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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System

Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System

... Also, model predictive control design for SOFC is presented in ...fuzzy Hammerstein model was identified from the input–output operation data of an SOFC stack, and then the associated standard ...

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Numerical investigation of nonlinear volterra hammerstein integral equations via single term haar wavelet series

Numerical investigation of nonlinear volterra hammerstein integral equations via single term haar wavelet series

... The STHW are applied to solve nonlinear Volterra- Hammerstein integral equations. This method is simple. It uses only six pieces of information from the past and evaluates the driving function only six per step. ...

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IBFD Power Line Communication for Analog Interference Cancellation

IBFD Power Line Communication for Analog Interference Cancellation

... mathematical model, we ignore the nonlinear behaviours of the LNA for simplicity, but we assume them on ...signal model has been derived on the time domain in much literature such as [13], [14], ...

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Existence and approximation of solution for a nonlinear second-order three-point boundary value problem

Existence and approximation of solution for a nonlinear second-order three-point boundary value problem

... into Hammerstein integral ...obtained Hammerstein integral equations is analyzed by using the Schauder fixed point ...of Hammerstein integral equations is constructed by using a new numerical method, ...

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Parameter estimation of the fractional order Hammerstein–Wiener model using simplified refined instrumental variable fractional order continuous time

Parameter estimation of the fractional order Hammerstein–Wiener model using simplified refined instrumental variable fractional order continuous time

... continuous-time Hammerstein–Wiener model by extending a well known iterative simplified refined instrumental variable ...Wiener model part does not need to be ...integer-order model ...

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A Study on ‎‎Functional Fractional Integro-Differential Equations ‎of Hammerstein type

A Study on ‎‎Functional Fractional Integro-Differential Equations ‎of Hammerstein type

... operational Tau method [21, 40], fractional differential transform method [4, 30], sinc-collocation method [3, 12], Laplace transform method [20, 22] and least squares method [25]. But, numerical solution of functional ...

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Existence and multiplicity results for some generalized Hammerstein equations with a parameter

Existence and multiplicity results for some generalized Hammerstein equations with a parameter

... The solvability of this type of integral equations, known as Hammerstein equations (see [12]), has been considered by many authors. In fact they have become both a generalization of differential equations and ...

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Taylor-Series Expansion Methods for Multivariate Hammerstein Integral Equations

Taylor-Series Expansion Methods for Multivariate Hammerstein Integral Equations

... particularly for multidimensional integral equations. In order to reduce the computational cost of numerically solving for integral equations, a large volume of research has been accomplished in the last two decades ...

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A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels

A Blind Hammerstein Diversity Combining Technique for Flat Fading Channels

... Diversity combining techniques play an important role in combating the destructive effects of channel fading in wireless communication systems. In this work, we present a blind diversity combining technique for Rayleigh ...

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Hybrid of Rationalized Haar Functions Method for Mixed Hammerstein Integral Equations

Hybrid of Rationalized Haar Functions Method for Mixed Hammerstein Integral Equations

... A numerical method for solving nonlinear mixed Hammerstein integral equations is presented in this paper. The method is based upon hybrid of rationalized Haar functions approximations. The properties of hybrid ...

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Algorithm for approximating solutions of Hammerstein integral equations with maximal monotone operat

Algorithm for approximating solutions of Hammerstein integral equations with maximal monotone operat

... Theorem 1.1 — (Br´ezis and Browder [6]). Let H be a separable Hilbert space and C be a closed subspace of H. Let K : H → C be a bounded continuous monotone operator and F : C → H be angle-bounded and weakly compact ...

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 HIGH LEVEL DESIGN FOR REAL TIME IMPLEMENTATION OF CSC ALGORITHM ON FPGA 
USING MATLAB & SIMULINK SIMULATION

 HIGH LEVEL DESIGN FOR REAL TIME IMPLEMENTATION OF CSC ALGORITHM ON FPGA USING MATLAB & SIMULINK SIMULATION

... In this paper we present a new approach to modeling dynamic production systems with discrete flow. This method is based on the automatic knowledge domain, in order to build a mathematical model that accurately ...

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