Sharing scarce resources is a key challenge in multi-agent interaction, especially when individual agents are uncertain about their future consumption. We present new auction mechanism for preallocating multi-unit among agents, while limiting the chance of resource violations. By planning constraint, we strike balance between worst-case approaches, which under-utilise resources, and expected-ca...

In this article we study the problem of finite-time constrained optimal control unknown stochastic linear time-invariant (LTI) systems, which is key ingredient a predictive algorithm—albeit typically having access to model. We propose novel distributionally robust data-enabled (DeePC) algorithm uses noise-corrupted input/output data predict future trajectories and compute inputs while satisfyin...

Time management under uncertainty is essential to large scale projects. From space exploration industrial production, there a need schedule and perform activities. given complex specifications on timing. In order generate schedules that are robust in the duration of activities, prior work has focused problem framing uses an interval-bounded representation. However, such approaches unable take a...