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

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2020-01-01

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Covacic, Márcio Roberto
Minhoto Teixeira, Marcelo Carvalho [UNESP]
Augusto De Carvalho, Aparecido [UNESP]
Cardim, Rodrigo [UNESP]
Assunção, edvaldo [UNESP]
Sanches, Marcelo Augusto Assunção [UNESP]
Fujimoto, Henrique Shuiti
Mineo, Maxwell Simões
Biazeto, Anderson Ross [UNESP]
Gaino, Ruberlei

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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.

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Mathematical Problems in Engineering, v. 2020.