… a subset of temporal properties. … properties for a wider set of stochastic models motivates
this article. We have recently proposed in [14] and [16], a new notion of approximate stochastic …

… robust multi-UAV team reference tracking design scheme is proposed to guarantee that the
controlled multi-UAV networked system … the robust multi-UAV team tracking controller design …

… Robust optimization approach to input uncertainty An alternative approach to modeling
input uncertainty in stochastic simulations is to use a robust approach to input uncertainty. This …

… In addition, we zoom in on algorithmic solutions for verification and synthesis of SHS against
temporal properties. An overview of the main developments in the area of stochastic model …

… The authors formulated a stochastic model that minimized the costs and maximized the
sustainability performance. They defined resilience based on adding extra capacities, …

… reveals the dynamic robustness of an RTN by extending the CML model to characterize the
… Eliasson, “A dynamic stochastic model for evaluating congestion and crowding effects in …

… robust optimization method to derive the robust corresponding model of the proposed stochastic
model. … Besides, we derive the robust corresponding model of the proposed stochastic …

… outlook on the future of identifiability for stochastic models in biology. Specifically, we discuss
… captures enough information to identify the parameters, and provides more robust results …

… However, since we will evaluate the formulas using the quantitative STL robustness … As an
example, we illustrate the use of the STL robustness metric for the safety distance requirement …

… stabilizing the original system with the learned model. Our method differs from previous
works by learning a stochastic model from noisy data, and providing a robust control framework …