The training of recurrent neural networks (RNNs) concerns the selection of their structures
and the connection weights. To efficiently enhance generalization capabilities of RNNs, a …

Fuzzy logic based systems are very widely used for modeling and control of complex non-
linear, plants. Fuzzy systems require the knowledge about the structure of the dynamic plant …

The difficulty of observer design for a general class of nonlinear system and the reduction of
chattering phenomenon are still challenging tasks in the theory of sliding mode observers …

This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At
first, it offers a detailed study of discomfort due to the application of Functional Electrical …

In the previous chapter a feasibility study was presented, which showed the capacity of
neuro-fuzzy systems to approximate FES-induced hand movements of stroke subjects …