Type-1 and Type-2 effective Takagi-Sugeno fuzzy models for decentralized control of multi-input-multi-output processes-Reference-Cited by-同舟云学术

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Type-1 and Type-2 effective Takagi-Sugeno fuzzy models for decentralized control of multi-input-multi-output processes

Published:2017-04 Issue: Volume:52 Page:26-44
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Liao Qian-Fang,Sun Da,Cai Wen-Jian,Li Shao-Yuan,Wang You-Yi

Funder

National Research Foundation of Singapore

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference31 articles.

1. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning;Wang;IEEE Trans. Neural Netw.,1992

2. General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators;Hao;IEEE Trans. Fuzzy Syst.,1998

3. A survey on analysis and design of model-Based fuzzy control systems;Feng;IEEE Trans. Fuzzy Syst.,2006

4. An approach to fuzzy control of nonlinear systems: stability and design issues;Wang;IEEE Trans. Fuzzy Syst.,1996

5. Decentralized networked control system design using T-S fuzzy approach;Hua;IEEE Trans. Fuzzy Syst.,2012

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