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

dc.contributorUniversidade Estadual de Londrina (UEL)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-12T02:49:28Z
dc.date.accessioned2022-12-19T21:24:15Z
dc.date.available2020-12-12T02:49:28Z
dc.date.available2022-12-19T21:24:15Z
dc.date.created2020-12-12T02:49:28Z
dc.date.issued2020-01-01
dc.identifierMathematical Problems in Engineering, v. 2020.
dc.identifier1563-5147
dc.identifier1024-123X
dc.identifierhttp://hdl.handle.net/11449/202086
dc.identifier10.1155/2020/4624657
dc.identifier2-s2.0-85090601582
dc.identifier5062087380571462
dc.identifier0000-0002-1072-3814
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5382720
dc.description.abstractThis 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.
dc.languageeng
dc.relationMathematical Problems in Engineering
dc.sourceScopus
dc.titleRobust T-S Fuzzy Control of Electrostimulation for Paraplegic Patients considering Norm-Bounded Uncertainties
dc.typeArtículos de revistas


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