Power quality is an important measure of the performance of an electrical power system. This paper discusses the topology, control strategies using artificial intelligent based controllers and the performance of a unified power quality conditioner for power quality improvement. UPQC is an integration of shunt and series compensation to limit the harmonic contamination within 5 %, the limit impo...

Douglas R. Martin B-317 Dept. of Statistics University of Washington Seattle, Washington 98195 There exist large classes of time series, such as those with nonlinear moving average components, that are not well modeled by feedforward networks or linear models, but can be modeled by recurrent networks. We show that recurrent neural networks are a type of nonlinear autoregressive-moving average (...

NARMA model is a simple and effective way to represent nonlinear systems, based on the model, NARMA-L2 controller designed has been successfully applied in literature. Success of directly related precision with which controlled systems’ dynamics can be estimated. In this paper, online SVR utilized obtain plant’s subdynamics consequently information used construction controller. Hence functional...

This work seeks to contribute the study of techniques for level control considering a nonlinear plant model. To achieve this goal, different approaches are applied classical and their results analyzed. Fuzzy Logic Control (FLC), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Model Predictive (MPC) Nonlinear Auto-Regressive Moving Average (NARMA-L2) controllers d...

The input output decoupling problem for discrete time nonlinear systems by static output feedback is studied in this paper The discrete time nonlinear system is described either by state equations or by high order input output di erence equations NARMA model In both cases the necessary and su cient conditions are given for the solution of the problem Copyright c IFA C

In this paper we introduce the concept of a behavior homomorphisms and isomorphisms and use it to present a uni.ed approach to the study of equivalence of di/erent behavior representations concentrating on a special representation we call normalized ARMA (NARMA) representation. c © 2001 Elsevier Science B.V. All rights reserved.

In recent years, there has been an expansive growth in the study and implementation of neural networks over a spectrum of research domains. Neural network based Predictive control is recognized as an efficient methodology to address difficult control problems. The NARMA model is an exact representation of the input-output behaviour of finite dimensional non-linear discrete time dynamical system...

Conditions for Global Asymptotic Stability (GAS) of a nonlinear relaxation equation realised by a Nonlinear Autoregressive Moving Average (NARMA) recurrent perceptron are provided. Convergence is derived through Fixed Point Iteration (FPI) techniques, based upon a contraction mapping feature of a nonlinear activation function of a neuron. Furthermore, nesting is shown to be a spatial interpreta...