Results 121 to 130 of about 9,285,453 (352)

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

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +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

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 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

Feedforward motion control: from batch-to-batch learning to online parameter estimation

, 2019
Feedforward control is essential in highperformance motion control. The aim of this paper is to develop a unified framework for automatic feedforward optimization from both batch-wise data sets as well as real-time data.
Witvoet, Gert, Witvoet, G Gert, Noud Mooren, Oomen, Tom, Oomen, TAE Tom, Mooren, Noud, Mooren, NFM, Gert Witvoet, Tom Oomen   +8 more
core   +1 more source

A Hybrid Magnetic Actuation System for Single‐Input Multistates Stabilization: Application to pH‐Responsive Drug Delivery

Advanced Intelligent Systems, EarlyView.
This study presents an integrated proof‐of‐concept robotic platform for targeted delivery applications. A hybrid magnetic actuation system achieves single‐input (z) multistate stabilization (x, y, ϕ, and θ) for precise capsule transport with submillimeter positioning accuracy.
Sejun Park, Hanbi Park, Suho Lee, Bohyeon Kim, Jiseong Ryu, ChangKyu Yoon, Donghoon Son   +6 more
wiley   +1 more source

A comparison of two feedforward control structure assessment methods

, 2003
The most common loop in an industrial plant is a SISO-loop with a PI(D)controller. If the loop is affected by disturbances,these can be handled by adding a feedforward control action. In an industrial control system there are many measured signals, apart
Petersson, Mikael, Hägglund, Tore,, Årzén, Karl-Erik,, Lund University.   +3 more
core   +1 more source

The Key Technologies and Technological Evolution Mechanisms of Robotic Systems for Fracture Reduction Surgery

Advanced Intelligent Systems, EarlyView.
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang, Xiaoyang Hu, Jianhua Li, Fang Wang, Xue Zhang, Lihai Zhang   +5 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