نتایج جستجو برای: narma

تعداد نتایج: 82  

Journal: :Neural Networks 1994
Kumpati S. Narendra Snehasis Mukhopadhyay

This paper considers the problem of using approximate methods for realizing the neural controllers for nonlinear multivariable systems. In [1] the NARMA-L1 and NARMA-L2 models were introduced as approximations of he NARMA model used for the representation of a SISO nonlinear dynamical systems. The advantage obtained from using NARMA-L1 and NARMA-L2 models is that control input u(k) occurs linea...

Journal: :Engineering Letters 2008
F. Chetouane S. Darenfed

The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive moving average based neural network (NARMA). The plant of interest is a novel Gyroscopic Inverted Pendulum (GIP) device that is nonlinear and open-loop unstable. The GIP balances a pendulum on its free knife-edge base ...

1997
Denis Bonnet Véronique Perrault Alain Grumbach

Despite their theoretical limitations, ARIMA models are widely used in real-life forecasting tasks. Parzen has proposed an extension of ARIMA models: ARARMA models. ARARMA models consist of an AR model followed by an ARMA model. Following Parzen approach,-NARMA neural network are MLP, the units of which are simple non-linear ARMA-based models (-NARMA units). They are a non-linear extension of A...

Journal: :IEEE Trans. Signal Processing 1997
Denis Bonnet Veronique Labouisse Alain Grumbach

This article presents a new connectionist architecture for stochastic univariate signal prediction. After a review of related statistical and connectionist models pointing out their advantages and limitations, we introduce the-NARMA model as the simplest non-linear extension of ARMA models. These models then provide the units of a MLP-like neural network: the-NARMA neural network. The associate...

Journal: :IEEE Trans. Fuzzy Systems 1997
George C. Mouzouris Jerry M. Mendel

We investigate dynamic versions of fuzzy logic systems (FLS’s) and, specifically, their non-Singleton generalizations (NSFLS’s), and derive a dynamic learning algorithm to train the system parameters. The history-sensitive output of the dynamic systems gives them a significant advantage over static systems in modeling processes of unknown order. This is illustrated through an example in nonline...

2009
ilan melczarsky valeria di giacomo eduard bertran fabio filicori

The use of digital predistortion for linearizing a millimeter-wave power amplifier (PA) is investigated. A PA operating at 38 GHz is designed using an accurate non-quasi-static transistor model, taking into account both shortand long-term memory effects. A realistic test signal is then used for the identification of a nonlinear auto-regressive moving average (NARMA) behavioral model of the PA. ...

2002
Arjpolson Pukrittayakamee Orlando De Jesús Martin T. Hagan

There have been many approaches to the use of neural networks in control systems, such as the NARMA-L2 Controller, introduced by Narendra and Mukhopadhyay. One disadvantage of this controller is that it often produces chattering in the control action. In this paper we investigate the addition of linear feedback to the NARMA-L2 controller in order to smooth the control action. We show that under...

Journal: :International journal of immunopathology and pharmacology 2008
M Gelardi A Maselli del Giudice M L Fiorella R Fiorella C Russo P Soleti M Di Gioacchino G Ciprandi

Three main types of inflammatory Non-Allergic Rhinitis (NAR) have been defined: NAR infiltrated by eosinophils (NARES), by mast cells (NARMA), and by neutrophils (NARNE). A new particular type has been characterized with current infiltration by eosinophils and mast cells (NARESMA). The aim of this study is to evaluate the clinical and functional characteristics in patients with NARES, NARMA, NA...

Journal: :IEEE Trans. Signal Processing 2003
Sheng Lu Ki H. Chon

The least squares (LS) can be used for nonlinear autoregressive (NAR) and nonlinear autoregressive moving average (NARMA) parameter estimation. However, for nonlinear cases, the LS results in biased parameter estimation due to its assumption that the independent variables are noise free. The total least squares (TLS) is another method that can used for nonlinear parameter estimation to increase...

2003
Tommy W. S. Chow Hong-Zhou Tan P. N. Paraskevopoulos A. S. Tsirikos K. G. Arvanitis S. Chen S. A. Billings

• TOP OF ARTICLE • INPUT-OUTPUT SYSTEM REPRESENTATION • NONLINEAR DIFFERENTIAL ALGEBRAIC REPRESENTATION • VOLTERRA REPRESENTATION • STATE-SPACE REPRESENTATION • BILINEAR REPRESENTATION • NARMA REPRESENTATION • FUZZY-LOGIC NONLINEAR REPRESENTATION • NONLINEAR REPRESENTATION USING NEURAL NETWORKS • MODEL-FREE REPRESENTATION • FEATURES OF NONLINEAR REPRESENTATIONS • EXAMPLE • CONCLUDING REMARKS • ...

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