Abstract
A novel adaptive fuzzy sliding mode control design is developed for trajectory tracking of a class of nonlinear systems in this paper. This control design uses the modelling error to adaptively estimate the deterministic uncertainties as well as the control gain based on the fuzzy systems approach. By this design, the bounds of the uncertainties are not required to be known in advance, and the robust stability of closed loop systems is analysed in the Lyapunov sense. Simulation results are given to demonstrate the improved performance.
| Original language | English |
|---|---|
| Pages | 3001-3006 |
| Number of pages | 6 |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | The 29th Annual Conference of the IEEE Industrial Electronics Society - Roanoke, VA, United States Duration: 2 Nov 2003 → 6 Nov 2003 |
Conference
| Conference | The 29th Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| Country/Territory | United States |
| City | Roanoke, VA |
| Period | 2/11/03 → 6/11/03 |
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