This paper introduces methods of deriving and computing maximal robust positively
invariant sets for linear discrete time systems with additive model uncertainty. Two types of …

A method to ensure recursive feasibility and asymptotic stability for a distributed model
predictive control scheme in case of temporary communication failure is presented. The …

This paper proposes a method of approximating positively invariant sets and n-step controllable
sets of uncertain linear systems that are subject to chance constraints. The computed …

Background and Objectives Trisomy 8 (+ 8) is among the commonest genetic aberrations
seen in acute myeloid leukemia (AML). However, the prognostic significance of this aberration …

… To avoid this we make use of recent algorithmic advances (Schaich and Cannon, 2015) that
… we refer the reader to Schaich and Cannon (2015). Theorem 1. (Schaich and Cannon (2015…

This thesis deals with the topic of min-max formulations of robust model predictive control
problems. The sets involved in guaranteeing robust feasibility of the min-max program in the …

Background Routine prophylactic platelet transfusion is the standard of care for patients with
severe thrombocytopenia. We assessed the effect of a new strategy of therapeutic platelet …

This paper presents novel results on robust positively invariant (RPI) sets for linear discrete-time
systems with additive disturbances. In particular, we determine how RPI sets change …

This largest prospective multicenter trial for adult patients with Burkitt lymphoma/leukemia
aimed to prove the efficacy and feasibility of short-intensive chemotherapy combined with the …

Purpose Identifying true therapeutic progress in patients with acute myeloid leukemia (AML)
requires a comparison of treatment strategies and results on the basis of uniform patient …