Composite Multimodel and Neural Network Controllers

Two kinds of hybrid multimodel-neural network controllers are presented, which either realize a fusion of local controllers or a fusion of local models which generates an appropriate controller. The hybrid controller using control fusion improves the tracking ability of controllers using multiple models, by taking into account a better approximation of the adequate control. Simulation results are shown on an underdamped system