Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...

The newly constructed renewable energy-oriented virtual power plants (VPPs) suffer from a scarcity of operation data for renewable energy and the uncertainties from both generation and load, which ...

Han is not just a programming language. It is an experiment with three goals: 1. Hangul is one of the most scientifically designed writing systems ever created Each character encodes the exact shape ...

Abstract: Due to the inherent $\pi $ -phase constraint in phase unwrapping algorithms, the dynamic strain range of phase-sensitive optical time domain reflectometry ($\Phi $ -OTDR) is significantly ...

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...

Block copolymers form the basis of the most ubiquitous materials such as thermoplastic elastomers, bridge interphases in polymer blends, and are fundamental for the development of high-performance ...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

We have developed a semi-analytical model for predicting the behavior of compact magnetic levitation-based harvesters of the form shown in Fig. 1(a). These comprise a hollow cylindrical structure that ...

The methods of complex systems research are increasingly being used and valued by international development organisations. These approaches enable a shift away from existing tools and business ...