The Takagi-Sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers

Hao Ying

doi:10.1016/s0005-1098(97)00173-8

ScienceGate Book Chapters

JOURNAL ARTICLE

The Takagi-Sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers

Hao Ying

Year: 1998 Journal: Automatica Vol: 34 (2)Pages: 157-167 Publisher: Elsevier BV

DOI: 10.1016/s0005-1098(97)00173-8

Get Full-Text PDF Get Analytical Report

Keywords:

Control theory (sociology) Fuzzy logic Parameterized complexity Nonlinear system Mathematics Variable (mathematics) Fuzzy control system Controller (irrigation) PID controller Computer science Control engineering Control (management) Engineering Algorithm Artificial intelligence

Metrics

Cited By

5.52

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Data Processing Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

The Takagi-Sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers

Metrics

Citation History

Topics

Related Documents

Constructing nonlinear variable gain controllers via the Takagi-Sugeno fuzzy control

Variable Gain Takagi–Sugeno Fuzzy Logic Controllers

Locally Optimal Takagi-Sugeno Fuzzy Controllers

Optimization of Takagi-Sugeno fuzzy controllers using a genetic algorithm

General Takagi-Sugeno fuzzy systems with simplified linear rule consequent are universal controllers, models and filters