Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …

Model Predictive Control (MPC) plays an important role in optimizing operations of complex
cyber-physical systems because of its ability to forecast system's behavior and act under …

In this paper a novel hierarchical multi-level control scheme is proposed for freeway traffic
systems. Relying on a coupled PDE-ODE nominal model, capturing the interaction between …

Optimal operation of solar plant is a challenge due to the multiple disturbances affecting the
plant. Research in optimal temperature set-point tracking is extensive whereas research …

Background: The use of speech based data in the classification of Parkinson disease (PD)
has shown to provide an effect, non-invasive mode of classification in recent years. Thus …

In this paper a mesoscopic hybrid model, ie a microscopic hybrid model that takes into
account macroscopic parameters, is introduced for designing a human-inspired Adaptive …

Decisions on how best to optimize today's energy systems operations are becoming ever so
complex and conflicting such that model-based predictive control algorithms must play a key …

Direct solar radiation is important in a solar trough plant because it is the perturbation that
affects most the operation. Generally, it is measured locally. Production losses or dangerous …

Traffic congestion on freeways is a critical problem due to higher delays, waste of fuel, a
higher accident risk probability, negative impact on the environment, etc. Variable speed …

Scholarships are a form of assistance in the form of funds provided by an institution to
individuals with the aim of being used for the continuation of the education they are …