Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

ArXi:2605.26191v1 Announce Type: cross This research addresses the problem of adaptive modeling in time-series data streams with clear input-output relationships. This problem is challenging because rapid system changes (regime shifts) caused by environmental factors or input delay changes degrade model performance, and the trade-off among accuracy, robustness, and memory usage arises when using multiple small models for each time-series pattern.