Results 31 to 40 of about 2,570,203 (288)

Data-Driven Dynamic Motion Planning for Practical FES-Controlled Reaching Motions in Spinal Cord Injury

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Functional electrical stimulation (FES) is a promising technology for restoring reaching motions to individuals with upper-limb paralysis caused by a spinal cord injury (SCI).
Derek N. Wolf, Antonie J. van den Bogert, Eric M. Schearer   +2 more
doaj   +1 more source

Data-Driven Digital Direct Position Servo Control by Neural Network With Implicit Optimal Control Law Learned From Discrete Optimal Position Tracking Data

IEEE Access, 2019
To get better control performance in motor control, more and more researches tend to apply non-linear control laws in the field of motor control. However, most conventional non-linear control theory is based on explicit model of controlled object and ...
Baochao Wang, Cheng Liu, Sainan Chen, Shili Dong, Jianhui Hu   +4 more
doaj   +1 more source

Decentralized Adaptive Tracking Control of a Class of Nonlinear Discrete-Time Coupled Multi-Agent Systems With Unknown Dynamics

IEEE Access, 2020
This paper studies the trajectory tracking control of a class of multi-agent systems, in which, each agent is expressed by a nonlinear discrete-time unknown dynamics and can interact with its neighbors via the history outputs of its neighbors.
Xinghong Zhang
doaj   +1 more source

An Online Adaptation Strategy for Direct Data-driven Control

IFAC-PapersOnLine, 2023
This work has been accepted for presentation at IFAC World Congress ...
Teutsch, Johannes, Ellmaier, Sebastian, Kerz, Sebastian, Wollherr, Dirk, Leibold, Marion   +4 more
openaire   +2 more sources

Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions. [PDF]

, 2016
Researchers have explored a variety of neurorehabilitation approaches to restore normal walking function following a stroke. However, there is currently no objective means for prescribing and implementing treatments that are likely to maximize recovery ...
Andrew J Meyer, Anil V Rao, Benjamin J Fregly, Carolynn Patten, Carolynn Patten, Ilan Eskinazi, Jennifer N Jackson   +6 more
core   +3 more sources

Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments—The Wastewater Treatment Plant Control Case

Sensors, 2020
The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly
Ivan Pisa, Antoni Morell, Jose Lopez Vicario, Ramon Vilanova   +3 more
doaj   +1 more source

On the Development of Offshore Wind Turbine Technology: An Assessment of Reliability Rates and Fault Detection Methods in a Changing Market

Energies, 2022
Offshore wind turbine drive train technology is evolving as developers increase size, aim to maximise availability and adapt to changing electricity grid requirements.
Alan Turnbull, Conor McKinnon, James Carrol, Alasdair McDonald   +3 more
doaj   +1 more source

Magnetic microscopy of topologically protected homochiral domain walls in an ultrathin perpendicularly magnetized Co film [PDF]

, 2015
Next-generation concepts for solid-state memory devices are based on current-driven domain wall propagation, where the wall velocity governs the device performance. It has been shown that the domain wall velocity and the direction of travel is controlled
Benitez, Maria Jose, Burnell, Gavin, Hrabec, Ales, Marrows, Christopher H., McGrouther, Damien, McVitie, Stephen, Mihai, Andrei P., Moore, Thomas A.   +7 more
core   +3 more sources

Adversarial Attacks to Direct Data-Driven Control for Destabilization

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
6 ...
openaire   +2 more sources

Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations [PDF]

IEEE Transactions on Automatic Control, 2023
We discuss connections between sequential system identification and control for linear time-invariant systems, often termed indirect data-driven control, as well as a contemporary direct data-driven control approach seeking an optimal decision compatible with recorded data assembled in a Hankel matrix and robustified through suitable regularizations ...
Florian Dorfler, Jeremy Coulson, Ivan Markovsky   +2 more
openaire   +2 more sources