Implicit cooperative control achieved by generic genetic fuzzy logic

The paper presents a cooperative control approach applied to a lake system that is implemented through a set of communicating agents. The distributed controllers use fuzzy logic rules to get the control decisions. To improve the local control performances the agents send each other their contexts. The control improving involves more terms in the fuzzy logic control rules. This has the effect of strongly increasing the number of rules. Hierarchical architectures are chosen to diminish the rule numbers of different methods. To obtain the unknown fuzzy logic control rules the generic genetic approach is used. The control rule sets, the simulations results and their comparison are given for some cooperative methods.