The development of reliable mathematical models for nonlinear systems has been a primary
topic in several industrial applications. This work proposes to examine the application of …

The use of gas turbines is widespread in several industries such as; hydrocarbons,
aerospace, power generation. However, despite to their many advantages, they are subject …

This paper presents and discusses experimental results on nonlinear model identification
method applied to a real pilot thermal plant. The aim of this work is to develop a moderately …

This paper proposes a systematic methodology of fuzzy logic modeling for complex system
modeling. It has a unified parameterized reasoning formulation, an improved fuzzy …

This paper introduces an identification method for nonlinear models in the form of rule-
based Fuzzy-Neural Networks (FNN). In this study, the development of the rule-based fuzzy …

A new method for cluster number optimization of Takagi & Sugeno models is proposed. A
general identification methodology is also described, including a sensitivity analysis for input …

In this paper, we introduce a category of Multi-FNN (Fuzzy-Neural Networks) models,
analyze the underlying architectures and propose a comprehensive identification …

In order to build accurate model for complicated nonlinear system in engineering, like boiler–
turbine system, a novel fuzzy-modeling approach is proposed, which is based on a new …

In this paper an on-line fuzzy identification of Takagi Sugeno fuzzy model is presented. The
presented method combines a recursive Gustafson–Kessel clustering algorithm and the …

We propose a multi-objective space search algorithm (MSSA) and introduce the
identification of fuzzy inference systems based on the MSSA and information granulation …