Hierarchical fuzzy CMAC control for nonlinear systems
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- Rodríguez, F.O., de Jesús Rubio, J., Gaspar, C.R.M. et al. Neural Comput & Applic (2013) 23(Suppl 1): 323. doi:10.1007/s00521-013-1423-x
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In this study, a novel indirect adaptive controller is introduced for a class of unknown nonlinear systems. The proposed method provides a simple control architecture that merges from the cerebellar model articulation controller (CMAC) network and hierarchical fuzzy logic; therefore, the complicated CMAC structure can be simplified. The overall adaptive scheme guarantees the uniform stability of the closed-loop system. A simulation is presented to demonstrate the performance of the proposed methodology.