A Robust Algorithm for Online Switched System Identification
A Robust Algorithm for Online Switched System Identification is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include convergence, biological sequence, upper and lower bounds, computer science, identification, wireless sensor network, online algorithm, system identification, initialization, mathematical optimization, residual, compressed sensing, and algorithm. The authors consider the problem of online identification of Switched Au-toRegressive eXogenous (SARX) systems, where the goal is to estimate the parameters of each subsystem and identify the switching sequence as data are obtained in a streaming fashion.