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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arrifano, N.S.D. Oliveira, V.A. |
| Copyright Year | 2005 |
| Description | Author affiliation: Departamento de Engenharia Elétrica, Universidade de São Paulo, Av.Trabalhador São Carlense, 400, CEP 13566-590, São Carlos, SP, BRASIL (Arrifano, N.S.D.) |
| Abstract | This paper addresses the problem of stabilizing a class of nonlinear systems subject to Markovian jump parameters using a robust stochastic fuzzy controller with H∞performance. The class of jump nonlinear systems is described by a fuzzy model composed of two levels, a crisp level which represents the jumps and a fuzzy level which represents the system nonlinearities. Considering the approximation error between the fuzzy model and the jump nonlinear system as norm-bounded uncertainties we develop a systematic technique to obtain a robust stochastic fuzzy controller which guarantees the L2gain of the closed-loop system in respect to external inputs to be equal to or less than a prescribed value. A simulation example on an electrical power system in co-generation scheme is presented to illustrate the approach. |
| Starting Page | 3243 |
| Ending Page | 3248 |
| File Size | 213661 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395670 |
| DOI | 10.1109/CDC.2005.1582661 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | IEEE/EUCA |
| Subject Keyword | Robustness Fuzzy systems Nonlinear systems Fuzzy control Robust control Stochastic systems Nonlinear control systems Power system simulation Control systems Approximation error stabilizing controller Fuzzy system models H Markovian jump systems |
| Content Type | Text |
| Resource Type | Article |
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