Results 31 to 40 of about 479,475 (300)

Predictive Variable Gain Iterative Learning Control for PMSM

open access: yesJournal 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

Model-Based Iterative Learning Control Applied to an Industrial Robot with Elasticity [PDF]

open access: yes, 2007
In this paper model-based Iterative Learning Control (ILC) is applied to improve the tracking accuracy of an industrial robot with elasticity. The ILC algorithm iteratively updates the reference trajectory for the robot such that the predicted tracking ...
Aarts, R.G.K.M.   +3 more
core   +2 more sources

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings

open access: yes, 2017
In this paper, we develop an extremum seeking control method integrated with iterative learning control to track a time-varying optimizer within finite time.
Allgöwer, Frank   +4 more
core   +2 more sources

Iterative Learning Control Based on Nesterov Accelerated Gradient Method

open access: yesIEEE 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

open access: yesActuators, 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   +5 more
doaj   +1 more source

Iterative Learning Control — Monotonicity and Optimization [PDF]

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2008
Iterative Learning Control — Monotonicity and OptimizationThe area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance.
Owens, David H., Daley, Steve
openaire   +2 more sources

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

open access: yesJournal 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   +3 more
doaj   +1 more source

Shaping of molecular weight distribution by iterative learning probability density function control strategies [PDF]

open access: yes, 2008
A mathematical model is developed for the molecular weight distribution (MWD) of free-radical styrene polymerization in a simulated semi-batch reactor system.
Cao L.   +10 more
core   +1 more source

Discrete iterative learning controller

open access: yesElectronics Letters, 1993
An effective discrete learning control method is proposed for improving the tracking performance of linear systems repeating the task from cycle to cycle. With this method, the current cycle data are intentionally introduced into the learning control law. Analysis of the convergence is conducted completely in the discrete-time domain.
Ma, L.Y.X., Low, T.S., Tso, S.K.
openaire   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman   +8 more
wiley   +1 more source

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