Results 101 to 110 of about 18,090,481 (292)
Iterative Learning Control -- Deep Dive
Poster presented at LLRF Workshop 2022 (LLRF2022, arXiv:2208.13680)
openaire +2 more sources
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
In this paper, we propose an error-tracking iterative learning control scheme to tackle the position tracking problem for robot manipulators with random initial errors and iteration-varying reference trajectories.
Qiuzhen Yan +3 more
doaj +1 more source
Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Iterative learning control for spatio-temporal dynamics using Crank-Nicholson discretization
Iterative learning control is now well established for linear and nonlinear dynamics in terms of both the underlying theory and experimental application.
Rogers, E, Galkowski, K, Cichy, B
core +1 more source
On Iterative Learning Control for Remote Control Systems with Packet Losses
The problem of iterative learning control (ILC) is considered for a class of time-varying systems with random packet dropouts. It is assumed that an ILC scheme is implemented via a remote control system and that packet dropout occurs during the packet ...
Chunping Liu +3 more
doaj +1 more source
Accelerated Iterative Learning Control of Speed Ripple Suppression for a Seeker Servo Motor
To suppress the speed ripple of a permanent magnet synchronous motor in a seeker servo system, we propose an accelerated iterative learning control with an adjustable learning interval.
Dongqi Ma, Hui Lin
doaj +1 more source
Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source
Iterative Learning Control (ILC) is now well established in terms of both the underlying theory and experimental application. This approach is specifically targeted at cases where the same operation is repeated over a finite duration with resetting ...
Rogers, E +3 more
core +1 more source

