Identification of cement rotary kiln using hierarchical wavelet fuzzy inference system
type: Item
instance of: scholarly article
title: Identification of cement rotary kiln using hierarchical wavelet fuzzy inference system
zbMATH Open document ID: 1254.93066
author: Yanyan Li
published in: Journal of the Franklin Institute
publication date: 2012-12-28T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 65T60
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 6118881
zbMATH Keywords: complex nonlinear dynamic equations
zbMATH Keywords: complex component of cement production process
zbMATH Keywords: hierarchical wavelet TS-type fuzzy inference system
zbMATH Keywords: cement rotary kiln
zbMATH Keywords: wavelet fuzzy inference system
zbMATH Keywords: rotary kiln
zbMATH Keywords: conclusion parts of sub-models
zbMATH Keywords: hierarchical wavelet
zbMATH Keywords: approximation model
zbMATH Keywords: gradient descent (GD) algorithm
zbMATH Keywords: production process
describes a project that uses: DENFIS
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2011.10.012
OpenAlex ID: W1995186955
cites work: A thermal model for the rotary kiln including heat transfer within the bed
cites work: CFD predictions for cement kilns including flame modelling, heat transfer and clinker chemistry
cites work: Fuzzy sets
cites work: Passive fuzzy controller design for nonlinear systems with multiplicative noises
cites work: Evolutionary algorithm-based fuzzy PD control of spillway gates of dams
cites work: Design of digital controllers for uncertain chaotic systems using fuzzy logic
cites work: Auto-structuring fuzzy neural system for intelligent control
cites work: Discrete-time recurrent high order neural networks for nonlinear identification
cites work: Decentralized neural identification and control for uncertain nonlinear systems: application to planar robot
cites work: Fuzzy control of dithered chaotic systems via neural-network-based approach
cites work: Q3931080
cites work: Fuzzy identification of systems and its applications to modeling and control
cites work: Q4833824
DOI: 10.1016/J.JFRANKLIN.2011.10.012
description: scientific article; zbMATH DE number 6118881