Results 181 to 190 of about 15,717,904 (337)

Dynamics Modeling of Robot Manipulators Based on Deep Lagrangian Network and Torque Separation Technique

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In recent years, learning robot manipulator dynamics with deep networks has been extensively studied, as it avoids deriving the analytical expression of the robot dynamics equations. In particular, deep Lagrangian networks that incorporate the prior knowledge of Lagrangian mechanics into the deep networks have shown prominent advantages in ...
Xianglong Liang, Tianyu Gao, Zhikai Yao, Jianyong Yao   +3 more
wiley   +1 more source

Revisiting Concepts of Thermal Physiology: Understanding Feedback and Feedforward Control, and Local Temperature Regulation. [PDF]

Acta Physiol (Oxf)
Mitchell D, Maloney SK, Snelling EP, Hetem RS, Fuller A.   +4 more
europepmc   +1 more source

Single Smooth Waveform Command‐Shaping Control of Overhead Crane Systems Utilizing Two‐Stage Acceleration–Deceleration Profile for Short‐Moving Point‐to‐Point Maneuver

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern industrial demand for efficient material handling in confined spaces has driven the need for overhead cranes capable of short‐distance point‐to‐point maneuvers without compromising payload stability. Conventional three‐stage shaper profiles, experiencing acceleration, cruising, and deceleration, become inefficient or infeasible for ...
Mohammed Alfares, Jasem Baroon, Khaled Alhazza   +2 more
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Tunable Josephson Generator for Qubit Excitation and Two‐Tone Spectroscopy

Advanced Quantum Technologies, EarlyView.
A tunable on‐chip Josephson generator that enables direct qubit excitation has been presented. The device consists of a current‐biased Josephson junction and a superconducting resonator, forming a microwave source that operates at 4 K. Excitation of the qubit at 20 mK was done via a short coaxial line between the 4 K and 20 mK stages.
M. M. Khrenov, R. D. Yusupov, G. I. Gubochkin, V. A. Vozhakov, I. A. Nazhestkin, A. D. Belanovsky, A. S. Ionin, P. A. Gladilovich, G. S. Khismatullin, L. V. Filippenko, M. Y. Fominskii, V. P. Koshelets, M. Yu. Kupriyanov, V. V. Ryazanov, N. Maleeva, N. V. Klenov, I. I. Soloviev, D. S. Yakovlev   +17 more
wiley   +1 more source

Differential involvement of feedback and feedforward control networks across disfluency types in adults who stutter: Evidence from resting state functional connectivity. [PDF]

PLoS One
Rowe HP, Frankford SA, Kim JS, Tourville JA, Nieto-Castanon A, Guenther FH.   +5 more
europepmc   +1 more source

Ru‐Ag Dual Atom Sites for Methane Detection Enabling Intelligent Thermal Runaway Warning in Lithium‐Ion Batteries

Rare Metals, EarlyView.
ABSTRACT Early detection of thermal runaway (TR) is essential for lithium‐ion battery (LIB) safety, as unchecked TR risks catastrophic failures in energy storage systems. Gas‐based sensing offers a faster and more direct approach by detecting decomposition products at the molecular level.
Tianshui Liang, Weifang Ma, Yuhang Song, Wenqi Hou, Zongke Li, Jiayi Liu, Wen Wang, Yang Jin, Ronghan Wei, Qiyan Wang   +9 more
wiley   +1 more source

A Smith Predictor Modified with a Pseudo Feedforward Control for the Charge-Coupled Device-Based Optoelectronic Tracking System. [PDF]

Sensors (Basel)
Deng K, Tan J, Chen P, Zhang S, Wang K, Luo Y.   +5 more
europepmc   +1 more source

Batch-to-Batch Rational Feedforward Control: From Iterative Learning to Identification Approaches, With Application to a Wafer Stage

IEEE/ASME transactions on mechatronics, 2017
L. Blanken, Frank Boeren, D. Bruijnen, T. Oomen   +3 more
semanticscholar   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source