Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
Abstract: The consideration of reliability in controller design is able to avoid the potential actuator faults from inappropriate strategies. This work presents an optimal reliability-critical ...
Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
Abstract: This work investigates the fault-prediction optimal output regulation problem for the structural reliability feedback (SRF) system, and it aims to design a reliability feedback controller ...
This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on ...
Machine learning is the study of intelligent machines that can learn from data and anticipate future outcomes. One of the most important components of machine learning is dealing with uncertainty, ...
Dynamic programming is a powerful technique for solving optimization problems that can be divided into smaller sub-problems. The main idea of dynamic programming is to avoid recomputing the same ...
The increasing penetration of renewable energy introduces more uncertainties and creates more fluctuations in power systems than ever before, which brings great challenges for automatic generation ...
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