Abstract: In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems ...
Abstract: In this paper, convergence properties are established for the newly developed discrete-time local value iteration adaptive dynamic programming (ADP) algorithm. The present local iterative ...
This presents a set-based topological sorting algorithm for directed acyclic graphs (DAG). Unlike traditional algorithms that produce a linear order of nodes, it yields a linear sequence of sets of ...
Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...
The earlier conference version of GH-ICP is called Iterative Global Similarity Point (IGSP). To highlight two key innovative points of the algorithm, we renamed IGSP as GH-ICP. #./script/run.sh ...
Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...
Gradient Descent is THE most used learning algorithm in Machine Learning and this post will show you almost everything you need to know about it. What’s the one algorithm that’s used in almost every ...
Images of the inside of the human body can be obtained noninvasively using tomographic acquisition and processing techniques. In particular, these techniques are commonly used to obtain images of a ...
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