Optimizations of systems using the tensorial analysis of networks for electromagnetic compatibility

The tensorial analysis of network (TAN) developed by G.Kron in 1939 has today proved its capability to give answers to the difficult problem of the electromagnetic compatibility (EMC) prediction of complex systems[1]. The purpose of this article is to show how this technique can allow to optimize the choice of parameters in system functions. We recall briefly the principles of the TAN, before to speak of the hybrid approach. Using this last technique, we detail a very simple example to illustrate the mechanisms involved. After what we can speak about the optimization of the system studied through a classical experience plan. The techniques can be then used for many more complex systems and efficient mathematical techniques of optimizations.