Robust Switched Control Design for Nonlinear Systems Using Fuzzy Models
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
03/12/2014
03/12/2014
01/01/2014
|
Resumo |
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Processo FAPESP: 11/17610-0 The paper proposes a new switched control design method for some classes of uncertain nonlinear plants described by Takagi-Sugeno fuzzy models. This method uses a quadratic Lyapunov function to design the feedback controller gains based on linear matrix inequalities (LMIs). The controller gain is chosen by a switching law that returns the smallest value of the time derivative of the Lyapunov function. The proposed methodology eliminates the need to find the membership function expressions to implement the control laws. The control designs of a ball-and-beam system and of a magnetic levitator illustrate the procedure. |
Formato |
11 |
Identificador |
http://dx.doi.org/10.1155/2014/721537 Mathematical Problems In Engineering. New York: Hindawi Publishing Corporation, 11 p., 2014. 1024-123X http://hdl.handle.net/11449/113613 10.1155/2014/721537 WOS:000338053100001 WOS000338053100001.pdf |
Idioma(s) |
eng |
Publicador |
Hindawi Publishing Corporation |
Relação |
Mathematical Problems in Engineering |
Direitos |
openAccess |
Tipo |
info:eu-repo/semantics/article |