Identification of time series models using sparse Takagi–Sugeno fuzzy systems with reduced structure

Modeling of Nonlinear Systems with Friction Structure Using Multivariable Taylor Series Expansion

The major aim of this article is modeling of nonlinear systems with friction structure that, thismethod is essentially extended based on taylore expansion polynomial. So in this study, thetaylore expansion was extended in the generalized form for the differential equations of the statespaceform. The proposed structure is based on multi independent variables taylore extended.According to the pro...

Chaotic Time Series Forecasting using Locally Quadratic Fuzzy Neural Models

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy Neural Model (LQFNM) to forecast the behavior of highly nonlinear and chaotic time series. It is based on the idea of approximating a nonlinear fun...

Structure Identification of TSK-Fuzzy Systems using Genetic Programming

Reliability Analysis of Three Elements Series and Parallel Systems under Time-varying Fuzzy Failure Rate

Reliability is the most important performance issue in the engineering design process but in the real world problems, there are limitations for using the conventional reliability. Fuzzy logic has proved to be effective in expressing uncertainties in different fields, including reliability engineering. In this paper, For both the series and parallel systems composed of three identical or differe...

Identification and Control of Nonlinear Systems Using Fuzzy Hammerstein Models

This paper addresses the identification and control of nonlinear systems by means of Fuzzy Hammerstein (FH) models, which consist of a static fuzzy model connected in series with a linear dynamic model. For the identification of nonlinear dynamic systems with the proposed FH models, two methods are proposed. The first one is an alternating optimization algorithm that iteratively refines the est...