Reducing code complexity in hybrid control systems
Louise A. Dennis, Michael Fisher, Nicholas K. Lincoln, Sándor M. Veres, Alexei Lisitsa · ePrints Soton (University of Southampton) · 2010
Modern control systems are limited in their ability to react flexibly and autonomously to changing situations by the complexity inherent in analysing situations where many variables are present. We present an architecture based on a combination of agent languages and hybrid systems for managing high level decisions in such systems. A preliminary case study suggests that the complexity of the code of such a system increases much more slower in the face of increasing complexity of the underlying system, than in a more traditional approach based on finite state machines.