Persistency, Consistency, and Polynomial Matrix Models in Least-Squares Identification Alexander Burnes the humorous and homespun Onancock

the humorous and homespun Onancock

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Persistency, Consistency, and Polynomial Matrix Models in Least-Squares Identification Alexander Burnes the humorous and homespun OnancockThe ultimate goal of system identification is the identification of possibly nonlinear systems in the presence of unknown deterministic and stochastic noise using robust, efficient algorithms that are amenable to recursive implementation. Throughout the dissertation, we will consider incrementally more difficult problems in system identification, with the aim of achieving this goal. Specifically, we begin by considering the simplest case of