Results 131 to 140 of about 46,986 (307)

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

Feedforward Control in the Paper Machine Drying Section

, 2006
A new disturbance signal was introduced for the paper machine drying section and its feedforward control was evaluated. Control of the moisture content is conventionally accomplished by adjusting the steam pressure in the cylinders. By adding feedforward
Stenström, Stig,, Hägglund, Tore,, Lund University., Karlsson, Magnus,, Slätteke, Ola,   +4 more
core  

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
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

Design and performance tradeoffs in MIMO disturbance feedforward control

, 2018
Disturbance feedforward control (DFC) can be used to reject external disturbances that are a priori unknown. This paper addresses the design and performance tradeoffs due to the causal nature of DFC in Multi-Input Multi-Output (MIMO) systems. Performance
Cong, Bo, Heertjes, Marcel, Beijen, Michiel   +2 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

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

Parameter-dependent feedforward strategies for motion systems

, 2018
In high performance motion systems, the ever increasing demand for high accelerations and tracking accuracy necessitates the explicit incorporation of the parameter-dependent dynamics in the control design.
Kasemsinsup, Y., Tóth, Roland Roland, I. Proimadis, Proimadis, I., Bloemers, T.A.H., Tóth, R., Proimadis, I Ioannis, Y. Kasemsinsup, Tóth, R.; id_orcid, Bloemers, TAH, Kasemsinsup, Y Yanin, T.A.H. Bloemers, R. Toth   +12 more
core   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
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