Input Design for Nonlinear Stochastic Dynamic Systems - a Particle Filter Approach

Abstract

We propose an algorithm for optimal input design in nonlinear stochastic dynamic systems. The approach relies on minimizing a function of the covariance of the parameter estimates of the system with respect to the input. The covariance matrix is approximated using a joint likelihood function of hidden states and measurements, and a combination of state… (More)

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