Details

Autor(en) / Beteiligte

• Golea, N.
• Golea, A.
• Kadjoudj, M.

Titel

Indirect fuzzy adaptive control: hyperstability approach

Ist Teil von

• IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02, 2002, Vol.2, p.1487-1492 vol.2

Ort / Verlag

IEEE

Erscheinungsjahr

2002

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• A new fuzzy indirect adaptive controller for continuous-time nonlinear systems, with a poorly understood dynamics, is developed. The proposed adaptive scheme uses a single Takagi-Seguno (TS) fuzzy model with few parameters to learn, which results in low implementation complexity and a fast learning rate. In addition, the use of TS fuzzy model permits the inclusion of a priori knowledge about the plant dynamics in terms of exact mathematical models or qualitative information. Using the hyperstability approach, it is proved that this adaptive controller is globally asymptotically stable, and achieves asymptotic tracking of a stable reference model. The performance of the developed approach is illustrated with simulation results.