Results 121 to 130 of about 7,645 (307)

Fault-Tolerant Control for Quadcopters Under Actuator and Sensor Faults

open access: yesSensors
Fault detection and diagnosis (FDD) methods and fault-tolerant control (FTC) have been the focus of intensive research across various fields to ensure safe operation, reduce costs, and optimize maintenance tasks. Unmanned aerial vehicles (UAVs), particularly quadcopters or quadrotors, are often prone to faults in sensors and actuators due to their ...
Kenji Fabiano Ávila Okada   +6 more
openaire   +3 more sources

Fault detection for markovian jump systems with sensor saturations and randomly varying nonlinearities

open access: yes, 2012
This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEE.This paper addresses the fault detection problem for discrete-time Markovian jump systems with incomplete knowledge ...
Wang, Z, Gao, H, Dong, H
core   +1 more source

Fuzzy-model-based robust fault detection with stochastic mixed time-delays and successive packet dropouts [PDF]

open access: yes, 2012
This is the Post-Print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEThis paper is concerned with the network-based robust fault detection problem for a class of uncertain discrete-time ...
Wang, Z   +12 more
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Soft, Degradable, and Magnetic Microcarriers for Encapsulation and Guided Transport of Drugs and 3D Spheroids

open access: yesAdvanced Materials, EarlyView.
This work presents soft, degradable hydrogel microcarriers that combine magnetic responsiveness with the ability to host multiple therapeutic and cellular components. Produced by droplet microfluidics, the carriers maintain structural integrity during manipulation, permit controlled breakdown under physiological conditions, and enable guided motion for
Xuan Peng   +18 more
wiley   +1 more source

UKF-based rotorcraft UAV fault adaptive control for actuator failure

open access: yes, 2007
A new fault adaptive control methodology against the actuator failure is proposed in this paper. The actuator failure modeling are introduced to denote the actuator healthy level (AHL) and the Unscented Kalman Filter (UKF) is employed for on-line ...
Qi JT(齐俊桐)   +3 more
core  

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy