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DC Field | Value | Language |
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dc.contributor.author | Mohamed Boumehraz | - |
dc.contributor.author | Khier Benmahammed | - |
dc.date.accessioned | 2014-11-25T08:33:35Z | - |
dc.date.available | 2014-11-25T08:33:35Z | - |
dc.date.issued | 2014-11-25 | - |
dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/4268 | - |
dc.description.abstract | This paper presents a Lyapunov-based switching controller design method for non-linear systems using Takagi-Sugeno fuzzy models. The basic idea of the proposed approach is to represent the fuzzy model as a set of uncertain linear systems. The controller is obtained by solving the corresponding set of Algebraic Ricatti Equations (AREs). A simulation example is given to illustrate the effectiveness of this approach. | en_US |
dc.language.iso | en | en_US |
dc.subject | switching control; fuzzy systems; uncertain system | en_US |
dc.title | Non-linear systems control via fuzzy models: a multicontroller approach | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications Internationales |
Files in This Item:
File | Description | Size | Format | |
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“Nonlinear Systems Control via Fuzzy Models a Multicontroller Approach.pdf | 233,14 kB | Adobe PDF | View/Open |
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