An adaptive neuro-fuzzy control design is suggested in this paper, for tracking of nonlinear affine in the control dynamic systems with unknown nonlinearities. The plant is described by a Takagi-Sugeno (T-S) fuzzy model, where the local submodels are realized through nonlinear dynamical input-output
โฆ LIBER โฆ
Adaptive nonlinear neuro-controller with an integrated evaluation algorithm for nonlinear active noise systems
โ Scribed by Xinghua Zhang; Xuemei Ren; Jing Na; Bo Zhang; Hong Huang
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 588 KB
- Volume
- 329
- Category
- Article
- ISSN
- 0022-460X
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