Abstract: This article proposes an adaptive, optimal, data-driven control approach based on reinforcement learning and adaptive dynamic programming to the three-phase grid-connected inverter employed ...

It allows you to optimize your application's performance by caching the results of expensive functions, avoiding repeated calculations when called with the same arguments. You can memoize any callable ...

This guide is written for developers who wish to start programming microcontrollers using a GCC compiler and a datasheet, without using any framework. This guide explains the fundamentals, and helps ...

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 ...

Abstract: In this article, an event-triggered output-feedback adaptive optimal control approach is proposed for large-scale systems with parametric and dynamic uncertainties through robust adaptive ...