IEEE Transactions on Automatic Control, Vol.65, No.6, 2700-2707, 2020
Algorithm to Compute Nonlinear Partial Observer Normal Form With Multiple Outputs
It is well known that observer design is a powerful tool to estimate the states of a dynamical system. Given a multioutput nonlinear dynamical system whose states are partially observable, this article investigates the problem of observer design to estimate those observable states. First, it considers a nonlinear system without inputs, and then provides a set of geometric conditions, guaranteeing the existence of a change of coordinates, which splits the studied nonlinear dynamical system into two subsystems, where one of them is of the well-known nonlinear observer normal form, for which a Luenberger-like observer can be designed. An extension to nonlinear systems with inputs has then been deduced.