State estimators, including observers and Bayesian filters, are a class of model-based algorithms for estimating variables in dynamical system given the sensor measurements related states. They can be used to derive fast accurate estimates that cannot measured directly (‘soft sensing’) or which only noisy, intermittent, delayed, indirect, unreliable available, perhaps from multiple sources (‘se...