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Found 9 papers, 2 papers with code
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning
A functional property that is of theoretical and practical interest for oscillatory systems is the stability of synchrony to localized perturbations.
Model predictive control of wakes for wind farm power tracking
In this paper, a model predictive control scheme for wind farms is presented.
Federated Learning in Wireless Networks via Over-the-Air Computations
This strategy, often called federated learning, is mainly employed for two reasons: (i) improving resource-efficiency by avoiding to share potentially large datasets and (ii) guaranteeing privacy of local agents' data.
Switched max-plus linear-dual inequalities: cycle time analysis and applications
P-time event graphs are discrete event systems suitable for modeling processes in which tasks must be executed in predefined time windows.
Model Predictive Control of Wind Turbines with Piecewise-Affine Power Coefficient Approximation
In this paper, an offset-free bilinear model predictive control approach for wind turbines is presented.
LQ Optimal Control for Power Tracking Operation of Wind Turbines
The simulations show a similar active power tracking performance, while the LQ optimal controller results in lower mechanical wear.
Weak consistency of P-time event graphs
P-time event graphs (P-TEGs) are event graphs where the residence time of tokens in places is bounded by specified time windows.
Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks
P-time event graphs are discrete event systems suitable for modeling processes in which tasks must be executed in predefined time windows.
Optimal control for a robotic exploration, pick-up and delivery problem
This paper addresses an optimal control problem for a robot that has to find and collect a finite number of objects and move them to a depot in minimum time.
