Results 41 to 50 of about 18,090,481 (292)

Online Iterative Learning Contouring Control

IEEE Access
An online iterative learning contouring control (online ILCC) method is proposed to improve the contouring performance of multi-axis motion systems by simultaneously reducing position and orientation contour errors.
Thanh-Quan Ta, Shyh-Leh Chen
doaj   +1 more source

Predictive Variable Gain Iterative Learning Control for PMSM

Journal of Control Science and Engineering, 2015
A predictive variable gain strategy in iterative learning control (ILC) is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking.
Huimin Xu, Xuedong Zhang, Xiangjie Liu
doaj   +1 more source

Iterative Learning Control Based on Nesterov Accelerated Gradient Method

IEEE Access, 2019
Based on Nesterov accelerated gradient method, the problem of iterative learning control for a class of linear discrete-time systems is considered in this paper.
Panpan Gu, Senping Tian, YangQuan Chen
doaj   +1 more source

Research on Positioning Control Strategy for a Hydraulic Support Pushing System Based on Iterative Learning

Actuators, 2023
At present, the positioning control of the hydraulic support pushing systems in fully mechanized mining faces uses an electrohydraulic directional valve as the control component, while the current research mainly focuses on servo valves, proportional ...
Tengyan Hou, Ziming Kou, Juan Wu, Tianyi Jin, Kaiyuan Su, Binghua Du   +5 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Experimentally supported 2D systems based iterative learning control law design for error convergence and performance

, 2010
This paper considers iterative learning control law design for both trial-to-trial error convergence and along the trial performance. It is shown how a class of control laws can be designed using the theory of linear repetitive processes for this problem
Hladowski, Lukasz, Freeman, Chis T, Cai, Zhonglun, Lewin, Paul L, Galkowski, Krzysztof, Rogers, Eric, Lukasz Hladowski, Eric Rogers, Chris T. Freeman, Krzysztof Galkowski, Zhonglun Cai, Paul L. Lewin   +11 more
core   +1 more source

Iterative Learning Control with Forgetting Factor for Linear Distributed Parameter Systems with Uncertainty

Journal of Control Science and Engineering, 2014
Iterative learning control is an intelligent control algorithm which imitates human learning process. Based on this concept, this paper discussed iterative learning control problem for a class parabolic linear distributed parameter systems with ...
Xisheng Dai, Senping Tian, Wenguang Luo, Yajun Guo   +3 more
doaj   +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Norm optimal iterative learning control based on a multiple model switched adaptive framework

, 2013
In this paper a prominent class of iterative learning control (ILC) algorithm is reformulated in the framework of estimation-based multiple model switched adaptive control (EMMSAC). The resulting control scheme uses a bank of Kalman filters to assess the
Brend, O., Freeman, C.T., French, M.
core   +2 more sources