We tackle the question of whether an agent can, by suitable choice of
pr...
Although organizations are continuously making concerted efforts to hard...
In this paper, we revisit the problem of learning a stabilizing controll...
The widely-used Extended Kalman Filter (EKF) provides a straightforward
...
While most approaches in formal methods address system correctness, ensu...
In model selection problems for machine learning, the desire for a
well-...
In this paper, we explain the universal approximation capabilities of de...
In Cyber-Physical Systems (CPS), inference based on communicated data is...
Advances in optimization and constraint satisfaction techniques, togethe...
Cloud computing platforms are being increasingly used for closing feedba...
This paper discusses the problem of estimating the state of a linear
tim...
In Cyber-Physical Systems (CPSs), inference based on communicated data i...
The development of large-scale distributed control systems has led to th...
Runtime verification is commonly used to detect and, if possible, react ...