Inverse learning for fuzzy controller design
Jyh‐Shing Roger Jang · 2002
Applies the inverse learning method, originally reported in the neural network literature, to the design of fuzzy controllers for discrete control systems, where the controllers are implemented as the ANFIS network structure proposed earlier. The author verifies the feasibility of this approach via computer simulation, which leads to a summary of the approach's strengths and shortcomings.