The main topic of this chapter is a detailed exposition of CoMSON’s attempt to give a contribution in the synergetic process of integration of research and training between Academia and Industry.

The integration of the Artificial Neural Network (ANN) and Fuzzy Logic (FL) in one architecture in order, to overcome the individual limitations and to achieve synergetic effects through a combination of these techniques, has a in recent years contributed to a large number of Neuro-Fuzzy (NF) architectures. NF techniques override the classical control methods in many aspects, such as algorithm ...

Patterns of activities of neurons serve as attractors, since they are those neuronal configurations which correspond to minimal ’free energy’ of the whole system. Namely, they realize maximal possible agreement among constitutive neurons and are most-strongly correlated with some environmental pattern. Neuronal patterns-qua-attractors have both a material and a virtual aspect. As neuronal patte...

This paper describes a variable-grain power gating and suspend-free voltage scaling scheme based on the self-timed pipeline (STP) circuits. The STP operates with its local hand-shake signal so that it does not require the global clock distribution, i.e., centralized control. Therefore, various power supply control for the STP can be naturally localized in both spatial and temporal domains witho...

When designing automated management systems for oilfield development one of the main problems is the uncertainty of control object stemming from natural factors. Field properties’ identification becomes a key task here. Field model adjustment plays a crucial role in this process. It is clear that history matching, as well as control, should be conducted on different time scales. Under the close...