Model Reduction H∞ Finite Frequency of Takagi-Sugeno Fuzzy Systems

Rim Mrani Alaoui; Abderrahim El‐Amrani; Ismail Boumhidi

doi:10.25046/aj060507

ScienceGate Book Chapters

JOURNAL ARTICLE

Model Reduction H∞ Finite Frequency of Takagi-Sugeno Fuzzy Systems

Rim Mrani Alaoui Abderrahim El‐Amrani Ismail Boumhidi

Year: 2021 Journal: Advances in Science Technology and Engineering Systems Journal Vol: 6 (5)Pages: 53-58 Publisher: Advances in Science, Technology and Engineering Systems Journal (ASTESJ)

DOI: 10.25046/aj060507

Get Full-Text PDF Get Analytical Report

Abstract

The daily treats model reduction finite frequency (FFMR) design for Takagi Sugeno (T S) systems.This work is to FFMR design in such a way whether augmented model is steady get a reduced H ∞ index in FF areas with noise is established as a prerequisite.To highlight the importance of suggested process, a practical application has been made.

Keywords:

Reduction (mathematics) Control theory (sociology) Fuzzy logic Fuzzy control system Mathematics Computer science Control (management) Artificial intelligence

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.14

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Model Reduction H∞ Finite Frequency of Takagi-Sugeno Fuzzy Systems

Abstract

Metrics

Topics

Related Documents

Finite-Frequency Model Reduction of Takagi–Sugeno Fuzzy Systems

H model reduction design in finite frequency ranges for discrete-time Takagi-Sugeno fuzzy systems

Improved filtering H∞ finite frequency of Takagi-Sugeno fuzzy systems

Dissipativity-Preserving Model Reduction for Takagi–Sugeno Fuzzy Systems

Finite frequency Fault detection Observer Design for Takagi-Sugeno fuzzy systems