HYBRID SYSTEMS MODELING FOR GAS TRANSMISSION NETWORK

Expansion of gas transmission networks and advancement in related automation systems has made these networks more complex. Study of these networks in an analytical approch, can help us in their design, management and optimization. We use a hybrid model based on hybrid automata to model the network. By using abstraction methods, a finite state automaton can be achieved which is used for intelligent control of the network. Due to lack of a decision model, Q-learning method is selected for decision-making purpose in which the proposed hybrid model makes our environment.