Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...
Abstract: Various discrete-time zeroing neural network (DTZNN) models have been developed for solving dynamic constrained quadratic programming. However, two challenges persist within the DTZNN ...
Abstract: This article presents an efficient method for solving the optimal tracking control policy of unmanned surface vehicles (USVs) using a hybrid adaptive dynamic programming (ADP) approach. This ...
Abstract: This article investigates the leader-follower consensus for nonlinear multiagent systems (MASs) and proposes an adaptive dynamic programming (ADP)-based hierarchical Stackelberg-Nash optimal ...
It’s been about four months since the iPhone 17 launched, and rumors about the iPhone 18 series have already started to pour in. The most recent one comes from the Chinese tipster Digital Chat Station ...
Across industries, pricing strategies are quietly shifting. What was once a predictable rhythm of annual increases is now giving way to continuous, incremental adjustments—and, in some cases, fully ...
Abstract: This article presents a decentralized dynamic event-sampled control (ESC) strategy for multi-unit power systems (MUPSs) subject to mismatched interconnections. Initially, with the ...
Abstract: This paper addresses the optimal control problem for a class of nonlinear systems that present significant challenges due to state constraints, unmodeled dynamics, and a nonstrict feedback ...
Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to move around a specified target ...
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 ...
Abstract: In this paper, a distributed adaptive dynamic programming (ADP) framework based on value iteration is proposed for multi-player differential games. In the game setting, players have no ...