4 citations · 4 across the 2 of their papers we have counts for
5 papers
Data-Driven Personalization of Automated Insulin Delivery
Ali Kashani, Ali Tavasoli, Heman Shakeri
Automated insulin delivery (AID) systems are often tuned for the population and offer limited online adaptation to the inter- and intrapatient variability in insulin needs caused b…
Data-driven invariant set for nonlinear systems with application to command governors
Ali Kashani, Claus Danielson
This paper presents a novel approach to synthesize positive invariant sets for unmodeled nonlinear systems using direct data-driven techniques. The data-driven invariant sets are u…
Learning Control Barrier Functions with Deterministic Safety Guarantees
Amy K. Strong, Ali Kashani, Claus Danielson +1
Barrier functions (BFs) characterize safe sets of dynamical systems, where hard constraints are never violated as the system evolves over time. Computing a valid safe set and BF fo…
Data driven synthesis of provable invariant sets via stochastically sampled data
Amy K. Strong, Ali Kashani, Claus Danielson +1
Positive invariant (PI) sets are essential for ensuring safety, i.e. constraint adherence, of dynamical systems. With the increasing availability of sampled data from complex (and…
Data-driven certificates of constraint enforcement and stability for unmodeled, discrete dynamical systems using tree data structures
Amy K. Strong, Ali Kashani, Claus Danielson +1
This paper addresses the critical challenge of developing data-driven certificates for the stability and safety of unmodeled dynamical systems by leveraging a tree data structure a…