nonlinear Wiener model identification
Identification of Nonlinear Systems Structured by Wiener-Hammerstein Model
... the identification method is based on the best linear approximation technique using class of Gaussian (-like) ...a model corresponding to a good local ...NFIR model structure was taken into account, ...
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Initialization of nonlinear state-space models applied to the Wiener–Hammerstein benchmark
... of nonlinear models: on one hand classic system identification techniques are used to capture system dy- namics, and on the other hand nonlinear regression methods are employed to model the ...
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An identification procedure of multi-input Wiener models for the distortion analysis of nonlinear circuits
... a nonlinear circuit, an identification procedure to ob- tain parametrized transfer functions for a multi input Wiener model from input and output data has been ...the nonlinear block. ...
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Identification of heat exchanger qad model BDT 921 based on hammerstein wiener model
... a nonlinear function transforming input data u(t), w(t) has the same dimension as u(t), x(t) = (B/F)w(t) is a linear transfer function, x(t) has the same dimension as y(t), B and F are similar to polynomials in ...
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HIGH LEVEL DESIGN FOR REAL TIME IMPLEMENTATION OF CSC ALGORITHM ON FPGA USING MATLAB & SIMULINK SIMULATION
... mathematical model that accurately formalizes the behavior of the studied ...parametric identification of nonlinear systems (Hammerstein-Wiener system and NARX ...
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The Cramer Rao Bound and DMT Signal Optimisation for the Identification of a Wiener Type Model
... the nonlinear reference model of Table 1, is shown in Figure ...12-parameter Wiener-type reference model, a DMT signal with at least N c = 6 tones has to be applied to prevent an ill-posedness ...
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Consistency aspects of Wiener-Hammerstein model identification in presence of process noise
... The main contribution of this paper is consistency results for approaches based on the BLA, in case the system is affected by process noise. In particular, after an introduction to the problem (Section II), we will show ...
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Nonlinear System Identification in Frequent and Infrequent Operating Points for Nonlinear Model Predictive Control
... low nonlinear process up to 1000 for high nonlinear ...by Wiener [16] or Hammerstein [5] model. Indeed, linear model with adaptive dynamic [6] or general nonlinear dynamic ...
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Adaptive Control Schemes for a class of Hammerstein-Wiener nonlinear systems
... the model (1), the purpose of identification is to estimate the unknown parameter vectors a, b, c and d, from the observed input-output ...smooth nonlinear functions and the orders q,n,p and m are ...
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Orthonormal Basis and Radial Basis Functions in Modeling and Identification of Nonlinear Block-Oriented Systems
... of identification has been obtained for the IOBF/RBFN-based models (Hammerstein and feedback-nonlinear ...IOBF-related model, 2) numerical conditioning of the covariance matrix for the IOBF-based ...
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Experimental Hysteresis Identification and Micro-position Control of a Shape-Memory-Alloy Rod Actuator
... and nonlinear behavior, scientists are thwarted in their attempt to design controllers for actuators of such ...hysteresis Wiener model was trained using a PSO ...hysteresis Wiener ...
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Set-membership identification of Hammerstein-Wiener systems
... the identification of Hammerstein-Wiener models when the measurement error is supposed to be ...the identification of single-input single-output (SISO) Hammerstein-Wiener models where the ...
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Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms
... The structure of this network can be mapped into a state-space equation, so the determining the network structure is equivalent to finding system order[19],[12]. The subspace identification is represented in ...
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Wiener Model Identification using Genetic Programming
... the nonlinear static part is invertible, measurement noise is a white noise normally distributed with mean zero, and the input signal u(t) is assumed random input uniformly distributed over ...
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Identification of some nonlinear systems by using least-squares support vector machines
... we model all these processes by a mathematical structure (in this thesis by a Wiener-Hammerstein model) and try to find the model parameters such that the input ...
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Recursive Identification of Hammerstein Systems with Polynomial Function Approximation
... Hammerstein model is a nonlinear system where a nonlinear block is followed by a linear dynamic ...Hammerstein model has been widely used in many areas including nonlinear filtering, ...
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Modeling and identification of nonlinear systems using SISO LEM-Hammerstein and LEM-Wiener model structures
... that identification experiments are carried out by exciting the plant with a designed input ...the identification context just a finite and probably small number of the members of these families are known, ...
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Inference techniques for stochastic nonlinear system identification with application to the Wiener-Hammerstein models
... the Wiener-Hammerstein model, i.e. a nonlinear model where a static nonlinearity is sandwiched between two linear dynamical ...of model, it can be proved that the best linear ...
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Optimization Approach to Estimate Hammerstein–Wiener Nonlinear Blocks in Presence of Noise and Disturbance
... Abstract—Hammerstein–Wiener model is a block-oriented model where a linear dynamic system is surrounded by two static nonlinearities at its input and output and could be used to model various ...
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Identification of nonlinear systems
... the nonlinear case, there are no compact expressions for the gradient ...the nonlinear closed-loop operator and the stability of the predictor at each ...
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