A modal approach for estimation in distributed parameter systems

A scheme, based on eigenmode expansion, for the estimation of system responses in distributed parameter systems with non-linear sensors is presented. The associated joint conditional probability distribution is realized by using the partition theorem and Wiener functional expansions. The system state and parameters are subsequently computed by obtaining the innovation processes from the observations.