Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Abstract: With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of ...
This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...
NBCU is testing agentic systems that can automatically activate campaigns across its entire portfolio – including live sports ...
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...
MiniMax Unveils M2.1 to Bring Multilingual Programming Gains to Open AI Models Your email has been sent Chinese AI startup’s release is a major update to its open-source model series, aimed at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback