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Discrete Takagi-Sugeno Fuzzy Models Applied to Control the Knee Joint Movement of Paraplegic Patients
- Source :
- Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP, IEEE Access, Vol 8, Pp 32714-32726 (2020)
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Made available in DSpace on 2020-12-10T19:55:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01 In this manuscript, a method for designing Takagi-Sugeno (T-S) fuzzy discrete-time regulators based on linear matrix inequalities (LMIs) is proposed to control the variation of the knee joint angle movement of paraplegic patients through electrical stimulation. A simple method for discretizing nonlinear systems described by T-S fuzzy models is used. The control strategy is applied for a paraplegic volunteer and a healthy one. The results and analysis show that the controlled system attended the design specifications for small values of the sample time considered for the discretization. Univ Estadual Londrina, Dept Elect Engn, BR-86057970 Londrina, Parana, Brazil Univ Estadual Paulista, Dept Elect Engn, Campus Ilha Solteira, BR-15385000 Ilha Solteira, Brazil Univ Estadual Paulista, Dept Elect Engn, Campus Ilha Solteira, BR-15385000 Ilha Solteira, Brazil
- Subjects :
- regulators
0209 industrial biotechnology
General Computer Science
Discretization
Computer science
Control (management)
02 engineering and technology
Knee Joint
Linear matrix
Fuzzy logic
020901 industrial engineering & automation
Control theory
Takagi-Sugeno
0202 electrical engineering, electronic engineering, information engineering
discretization
General Materials Science
LMI
rehabilitation engineering
General Engineering
paraplegic
Nonlinear system
Takagi sugeno
Knee joint movement
020201 artificial intelligence & image processing
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....5bf9e156f370cbe1c127c1b0eecf1c1f
- Full Text :
- https://doi.org/10.1109/access.2020.2971908