Incremental Segmentation of ARX Models
Incremental Segmentation of ARX Models is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include segmentation, artificial intelligence, noise, autoregressive model, computer science, system identification, mathematical optimization, market segmentation, computation, model predictive control, synthetic data, fault detection and isolation, dynamic programming, and algorithm. The authors also show how certain noise bounds can be used to detect switches automatically at run-time.