Robust T-S Fuzzy Control of Electrostimulation for Paraplegic Patients considering Norm-Bounded Uncertainties-Reference-Cited by-同舟云学术

Robust T-S Fuzzy Control of Electrostimulation for Paraplegic Patients considering Norm-Bounded Uncertainties

Published:2020-08-12 Issue: Volume:2020 Page:1-28
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Covacic Márcio Roberto¹^ORCID,Minhoto Teixeira Marcelo Carvalho²^ORCID,Augusto de Carvalho Aparecido²,Cardim Rodrigo²^ORCID,Assunção Edvaldo²^ORCID,Sanches Marcelo Augusto Assunção²,Fujimoto Henrique Shuiti¹,Mineo Maxwell Simões¹,Biazeto Anderson Ross²,Gaino Ruberlei¹

Affiliation:

1. Department of Electrical Engineering, State University of Londrina, Rodovia Celso Garcia Cid (PR 445), Km 380, Londrina 86057-970, Paraná, Brazil

2. Department of Electrical Engineering, São Paulo State University (UNESP), 1370 Prof. José Carlos Rossi Avenue, Ilha Solteira 15385-000, Brazil

Abstract

This manuscript presents a Takagi–Sugeno fuzzy control for a mathematical model of the knee position of paraplegic patients using functional electrical stimulation (FES). Each local model of the fuzzy system is represented considering norm-bounded uncertainties. After obtaining the model of FES with norm-bounded uncertainties, the fuzzy control strategy is designed through the solution of linear matrix inequalities (LMIs) using the conditions available in the literature, which consider these norm-bounded uncertainties. The strategy considers decay rate and constraints on the input signal. The model is simulated in the Matlab environment using the numerical parameters measured by experimental tests from a paraplegic patient.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2020/4624657.pdf

Reference18 articles.

1. The relationship between electrical stimulus and joint torque: a dynamic model

2. Discrete Takagi-Sugeno Fuzzy Models Applied to Control the Knee Joint Movement of Paraplegic Patients

3. Model construction, rule reduction, and robust compensation for generalized form of Takagi-Sugeno fuzzy systems

4. A mathematical model for skeletal muscle activated by N-let pulse trains

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