This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of a ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

3. Output: The configuration of the inputs undergoes several computational and conditional operations before yielding an output. The algorithm performs this in order to utilize the output generated to ...

To achieve the objective and sub-objectives, this section outlines the methodology employed to dynamically verify the optimisation algorithm for power dispatch of IESs. The dynamic verification ...

Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and ...

The Non-Dominated Sorting Genetic Algorithm II (NSGA2) is used to solve the Pareto sets under each planning stage of the grid. Then, the optimal planning path of PST is derived based on dynamic ...

Stochastic optimization can better model uncertainties in power system problems. However, when state space and action space become large, many existing approaches become computationally expensive and ...