Stability and Reconfiguration

Intelligent reconfiguration of the all-electric ship is a complex task that involves the detection, classification, and identification of multiple and simultaneous faults in a network, as well as the reconfiguration of the network in real time.

Fault is considered to be a stochastic process, that is, the magnitude and timing of faults occur in a random manner. MIT researchers have used the polynomial chaos approach to handle a wide class of stochastic processes. With stochastic modeling, which is the basis for handling uncertainty and reconfiguration in the presence of uncertainty, the researchers have focused on two prototype models that are encountered in both electric and mechanical components: (1) a linear random second-order oscillator, and (2) a nonlinear (Duffing) random oscillator.