Results 71 to 80 of about 479,475 (300)

A novel iterative learning path-tracking control for nonholonomic mobile robots against initial shifts

International Journal of Advanced Robotic Systems, 2017
In this article, we propose a novel discrete-time iterative learning control framework for robust path-tracking problem of nonholonomic mobile robots. The contributions of this iterative learning control framework are threefolds: (1) With the application
Yang Zhao, Fengyu Zhou, Yan Li, Yugang Wang   +3 more
doaj   +1 more source

Learning-Gain-Adaptive Iterative Learning Control to Linear Discrete-Time-Invariant Systems

IEEE Access, 2019
For a class of repetitive linear discrete-time-invariant systems with the unit relative degree, a learning-gain-adaptive iterative learning control (LGAILC) mechanism is exploited, for which the iteration-wise performance index is to maximize the ...
Xiaohui Li, Xiaoe Ruan, Yan Liu
doaj   +1 more source

Iterative learning : a way of achieving generalizability in idiographic research? [PDF]

, 2012
In this developmental paper we discuss the thesis that iterative learning is a valid way for generalizing qualitative research findings derived from idiographic research.
Dörfler, Viktor, Stierand, Marc
core   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Optimized Iterative Learning Control for Linear Discrete-Time-Invariant Systems

IEEE Access, 2019
In this paper, an optimized first-order iterative learning control (OILC) scheme is explored for a class of linear discrete-time-invariant systems with Markov parameters available and the system relative degree being unity.
Yan Liu, Xiaoe Ruan, Xiaohui Li
doaj   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Synchronization of Fractional-Order Reaction–Diffusion Neural Networks via ETILC

Fractal and Fractional
This paper focuses on the synchronization of fractional-order reaction–diffusion neural networks (FORDNN) under sampling event-triggered iterative learning control.
Xisheng Dai, Yehui Liu, Yanxue Wang, Jianxiang Zhang, Senping Tian   +4 more
doaj   +1 more source

Data loss for PLC of nonlinear systems Iterative Learning Control Algorithm

MATEC Web of Conferences, 2016
When we use power line as data carrier, due to the complexity of the PLC network environment, data packet loss frequently, so the paper deal with the iterative learning control for a class of nonlinear systems with measurement dropouts in the PLC, and ...
Zhang Yinjun, Li Yinhui, Su Jianhuan, Lu hengjie   +3 more
doaj   +1 more source

Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations

, 2017
We present a technique for learning control Lyapunov (potential) functions, which are used in turn to synthesize controllers for nonlinear dynamical systems.
Ravanbakhsh, Hadi, Sankaranarayanan, Sriram   +1 more
core   +1 more source

Inferential Iterative Learning Control: A 2D-system approach

Automatica, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bolder, J.J., Oomen, T.A.E.
openaire   +1 more source