Adaptive Control of Nonlinear Dynamical Systems Using a Model Reference Approach
β Scribed by David J. Wagg
- Book ID
- 110426447
- Publisher
- Springer Netherlands
- Year
- 2003
- Tongue
- English
- Weight
- 124 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0025-6455
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π SIMILAR VOLUMES
In this paper, a model reference adaptive fuzzy controller with the adaptivity achieved by tuning both the scaling factors and the control rules is presented. The proposed tuning strategy includes two parts: (1) by referring a reference trajectory created in the linguistic space to tune the scaling
## Abstract In the model reference adaptive control problem, the goal is to force the error between the plant output and the reference model output asymptotically to zero. The classical assumptions on a singleβinputβsingleβoutput (SISO) plant is that it is minimum phase, and that the plant relative