Abstract: In this study, an adaptive dynamic programming (ADP)-based optimal backstepping control (OBC) method is proposed for robotic manipulators with unknown dynamics. The original second-order ...
To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...
The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes ...
Abstract: Stacking the mass block (MB) is a key process in maintaining the operation of a gravity energy storage system (GESS), and the energy consumption during this process directly affects the ...
ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...
The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
This project implements a Dynamic Programming (DP) solution for optimal inventory control, inspired by fundamental principles in Dimitri Bertsekas's work on "Lessons from AlphaZero for Optimal, Model ...
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