Dynamic Focusing of Awareness in Fuzzy Control Systems
Adaptive fuzzy logic control systems with Gaussian membership functions are described. A systematic simulation study of 'Dynamic focusing of awareness' in fuzzy logic control systems is provided. This study shows how the final steady-state values of the membership functions change in response to varying initial membership functions, changing desired trajectory, and varying system nonlinearities. It is shown that the fuzzy logic control system is focusing on a different region of the state-space depending on these varying factors. Conclusions on higher-level behavior of the fuzzy logic control system are drawn. A stability proof is given.