Identification of low-order models using Laguerre basis function expansions
Identification of low-order models using Laguerre basis function expansions is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include basis function, regularization, Structural health monitoring, state space, computer science, identification, physics-informed neural networks, algorithm, system identification, mathematical optimization, realization, basis, applied mathematics, mathematics, Laguerre polynomial, and norm. In this paper, a method for identification of low-order output-error models expressed in terms of Laguerre basis functions is presented.