摘要：AbstractThis work studies the stability properties of Switched AutoRegressive eXogenous (SARX) models subject to arbitrary switching sequences. We provide necessary and sufficient conditions for the arbitrary switching stability of multiple-input single-output SARX models under nonnegativity constraints, and sufficient-only conditions removing sign constraints. The conditions are equivalently formulated on state-space representations of SARX models, due to their influential use in designing control strategies. As an application of the aforementioned results, we propose a novel algorithm for the identification of switched models with stability guarantees via Regression Trees, a powerful machine learning technique.
关键词：KeywordsStability of switched systemsSystem identificationRegression Trees
