Improving Linear State-Space Models with Additional Iterations
Improving Linear State-Space Models with Additional Iterations is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include state-space representation, Structural health monitoring, space, state space, state, algorithm, system identification, MATLAB, mathematical optimization, fault detection and isolation, linear model, project management estimation, applied mathematics, mathematics, maximum likelihood estimation, computer science, and subspace topology. Several tests are performed, which show that it is generally advisable to do such further re-estimation steps using the maximum likelihood criterion.