Multi-omics analysis of human kidney PDGFRβ+ mesenchymal cells quantified over 14,000 biomolecules across 8 time points, ...

Every organization's strategic planning involves its desired future, present situation and unique history. Some planning ...

Abstract: In this paper, we study the finite-horizon optimal control problem for discrete-time nonlinear systems using the adaptive dynamic programming (ADP) approach. The idea is to use an iterative ...

Dynamic programming can be applied to problems that have two properties: optimal substructure and ... I have used recursion for the control of a autonomous mobile robot 's drivetrain.

In conclusion, the flowchart of the proposed PST dynamic programming method is shown in Figure 5. The steps are as follows. Step 1: Build a multi-stage planning model of the grid. Step 2: Build the ...

Hence, a renewable energy forecasting–based, day-ahead dynamic optimal ... program. Nowadays, AI and ML algorithms are performing tasks much like a human would do. In particular, artificial neural ...

so as the optimal control law is constructed. By feed backing the updated control trajectory into the dynamic system, the iterative solution of the model used could approximate to the correct optimal ...

prodyn uses the dynamic programming algorithm to calculate the decision seuqence which leads to minimal total costs prodyn can be apllied to any system function which follows the required structure ...