Fuzzy modelling and control using parameterized linear filters

The paper presents a nonlinear identification scheme, which consists of a linear dynamical section (filter) and a nonlinear zero-memory section (implemented by a fuzzy mapping). Only the filter section is on the primary signal path. The nonlinear mapping (depending on the system input and state) delivers the filter parameters. The identification...

Efficient adaptive fuzzy control scheme

The paper presents an adaptive nonlinear (state-) feedback control structure, where the nonlinearities are implemented as smooth fuzzy mappings defined as rule sets. The fine tuning and adaption of the controller is realized by an indirect adaptive scheme, which modifies the parameters of the fuzzy mapping. The performance index gradients are...