NARMAX model identification using a set-theoretic evolutionary approach

Nonlinear System Identification for a DC Motor using NARMAX Model with Regularization Approach

The approach to the design of direct current (DC) motor varies considerably using advanced methods such as artificial intelligence (AI). However, accuracy issues cannot be totally addressed using conventional methods. This paper presents the study on nonlinear autoregressive moving average with exogenous input (NARMAX) model using multilayer perceptron (MLP) neural network for DC motor modeling...

Set-theoretic Input Sequence Design for Orthonormal Model Identification

Model-set Identification Based on Learning-theoretic Inequalities

A model-set identification algorithm is proposed in a probabilistic framework based on the leave-one-out technique. It provides a nominal model and a bound of its uncertainty for a provided plant assuming that the effect of the past inputs decays with a known bound. Since it does not require further assumptions on the true plant dynamics or on the noise, a risk to make inappropriate assumptions...

A Set-Theoretic Approach To Lexical Semantics

Le fitr¢ " d k ~ t m ~ amiog~" l cgro~ des r6ali~s tr~s ~ l~tr nnee part, mus dvitms le mvail d~ Sisy~ parm ~ h ~ s t ~ t 2 p ~ poar mus o m m ~ sat h mummkm des d m ~ s~anf io~ Aini, nnm dassm~ i~ l'aide de r a t ~ m r , et selm reapmm h r m i ~ ~ r rmm de fairs ~ qu~ ~ 6 a m i n e s & langu~ s'amemt ~ r m a m et ~ f ~ r dins r u s ~ u m par~ i n v a m ~ de l ' a ~ d~ait d'tme fagon fmmi~ 1~ d...

Communication among Agents: a Set Theoretic Approach

This paper uses the notion of relative sets in relation to fuzzy set theory to provide a mathematical framework to analyze communication among agents. Each relative set partitions all objects into four distinct regions corresponding to four truth-values of Belnap’s logic. Two orderings on relative sets are considered; one is an extension of the classical set inclusion ordering while the other i...