Results 121 to 130 of about 15,717,904 (337)

Predictive load‐feedforward control for DC‐link voltage suppression and dynamic improvement of battery charging and discharging converter

IET Power Electronics
With the continuous progress of new energy technology, new energy vehicles have ushered in a stage of rapid development. As the central core of new energy vehicle, the power accumulator batteries have been attracting increasing attention.
Jingang Han, Zheng Yang, Xinhe Zhou, Tianhao Tang   +3 more
doaj   +1 more source

An Empirical Study of Feedforward Control in Unplanned Extubation of Nasogastric Tube. [PDF]

J Multidiscip Healthc, 2023
Ma H, Pan H, Dong X, Li L.
europepmc   +1 more source

Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems

Advanced Intelligent Systems, EarlyView.
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley   +1 more source

Repetitive pain experiences modulate feedforward control of hemodynamics and modification by nitrous oxide/oxygen inhalation in humans. [PDF]

Heliyon, 2023
Miyazaki H, Nishio Y, Miyahara K, Furutani C, Xu Z, Saeki N, Tsuji T, Okada Y.   +7 more
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Action-Conditional Video Prediction using Deep Networks in Atari Games [PDF]

, 2015
Motivated by vision-based reinforcement learning (RL) problems, in particular Atari games from the recent benchmark Aracade Learning Environment (ALE), we consider spatio-temporal prediction problems where future (image-)frames are dependent on control ...
Guo, Xiaoxiao, Lee, Honglak, Lewis, Richard, Oh, Junhyuk, Singh, Satinder   +4 more
core  

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Effect of a Feedforward Control Model on Nursing Attitudes in the Operating Room. [PDF]

J Multidiscip Healthc, 2022
Ma L, Yuan Y, Wang X.
europepmc   +1 more source

An adaptive model-based feedforward temperature control of a 100 kW PEM electrolyzer

Control Engineering Practice, 2022
R. Keller, E. Rauls, M. Hehemann, M. Müller, M. Carmo   +4 more
semanticscholar   +1 more source

Passivity/Lyapunov based controller design for trajectory tracking of flexible joint manipulators [PDF]

A passivity and Lyapunov based approach for the control design for the trajectory tracking problem of flexible joint robots is presented. The basic structure of the proposed controller is the sum of a model-based feedforward and a model-independent ...
Lanari, Leonardo, Sicard, Pierre, Wen, John T.   +2 more
core   +1 more source