Combined Feedback Feedforward Control of a 3-Link Musculoskeletal System Based on the Iterative Training Method. [PDF]
Biomed Res Int, 2021 Valizadeh A, Akbari AA.
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Parameter-varying feedforward control: A kernel-based learning approach
MechatronicsThe increasing demands for high accuracy in mechatronic systems necessitate the incorporation of parameter variations in feedforward control. The aim of this paper is to develop a data-driven approach for direct learning of parameter-varying feedforward control to increase tracking performance.
Max van Haren +2 more
openaire +2 more sources
Model-Based Feedforward Control of Part Height in Directed Energy Deposition. [PDF]
Materials (Basel), 2021 Wang Q +4 more
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Two Aspects of Feedforward Control During a Fencing Lunge: Early and Anticipatory Postural Adjustments. [PDF]
Front Hum Neurosci, 2021 Akbaş A +3 more
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Frontiers in Energy ResearchGiven the contradiction between compensating speed and compensating overshoot in traditional Proportional Integral (PI) control of Dynamic Voltage Restorer (DVR), A Feedforward compensation-active Disturbance Rejection Control (FC-ADRC) strategy based on
Langchen Huang +4 more
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Somatosensory deafferentation reveals lateralized roles of proprioception in feedback and adaptive feedforward control of movement and posture. [PDF]
Curr Opin Physiol, 2021 Jayasinghe SAL +3 more
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An Introduction to Feedforward Control of Electric Drives
Advances in Electrical and Electronic Engineering, 2010 The field of electric drives provides a broad spectrum of applications with different power demands, utilized motor types or different environment requirements. Lot of applications are characterized by very high demands on accuracy and dynamic properties
Michal Malek +2 more
doaj
[Application effects of feedforward control theory in the rollover bed treatment of mass patients with burn-explosion combined injury]. [PDF]
Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi, 2022 Chen HQ +7 more
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Multivariable norm optimal iterative learning control with auxiliary optimization
, 2013 The paper describes a substantial extension of Norm Optimal Iterative Learning Control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously converging to the solution of a constrained quadratic ...
Chu, B., Freeman, C.T., Owens, D.H.
core
Feedforward Control for Single Particle Tracking Synthetic Motion. [PDF]
IFAC Pap OnLine, 2020 Vickers NA, Andersson SB.
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