Abstract: Conventional real-valued 1-D chaotic models are constrained by three fundamental limitations: Restricted chaotic regimes, susceptibility to dynamic degradation in finite-precision ...
Abstract: Variable Stiffness Actuators (VSA) have been proposed as an alternative actuation system for manipulators that are utilized for safe physical Human-Robot Interaction (pHRI). However, in the ...
Abstract: Following the great success of Machine Learning (ML), especially Deep Neural Networks (DNNs), in many research domains in 2010s, several ML-based approaches were proposed for detection in ...
Abstract: This paper proposes a dynamic path planning method based on discrete optimization applied to suburban highways or expressways. We optimize the generated candidate points according to the ...
Abstract: Nonintrusive load monitoring (NILM) is a process that monitors the aggregated power consumption data of customers measured by a single sensor and decomposes the real-time power consumption ...
Trump expected to sign executive order to reclassify marijuana as soon as Monday, source tells CNBC; pot stocks surge A new discovery at Easter Island could rewrite history as we know it FDA intends ...
Abstract: The main objective of this work is to provide an overview and evaluation of discrete model-predictive control (MPC)-based maximum power point tracking (MPPT) for photovoltaic systems. A ...
Abstract: In this paper, we propose a novel generalized discrete-time variable gain active disturbance rejection control (DTVGADRC) method for the n-th order discrete-time nonlinear systems. The error ...
Abstract: In this letter, a novel discrete active disturbance rejection control (ADRC) method is proposed to solve the trajectory tracking problem for a four-mecanum-wheeled mobile vehicle (FMWMV).
Learn how to maximize your Marriott Bonvoy Free Night Award by topping it off with points! This tutorial guides you through the redemption process to get the most value. Russia responds to Donald ...
Abstract: This article is committed to studying projective synchronization and complete synchronization (CS) issues for one kind of discrete-time variable-order fractional neural networks (DVFNNs) ...