As a kind of multivariate time series (MTS) data, emitter signals often exhibit missing or
corrupt values, posing serious challenges to emitter data research such as specific emitter …

A nonlinear model predictive controller (NMPC) is a promising approach for cooperative
control of functional electrical stimulation (FES) and an exoskeleton to assist limb function in …

Forecasting governing key factors in industrial bioprocesses is crucial for ensuring stability
and efficiency in production. However, the accurate prediction is challenged by the strong …

In this paper, a switched control method for a class of wearable robotic systems that prioritizes
the use of human skeletal muscles in an assistive rigid powered exoskeleton is derived. A …

This article presents an assist-as-needed (AAN) control framework for exoskeleton
assistance based on human volitional effort prediction via a Hill-type neuromuscular model. A …

For decades, surface electromyography (sEMG) has been a popular non-invasive bio-sensing
technology for predicting human joint motion. However, cross-talk, interference from …

Ultrasound-based state assessment of the human muscle during rehabilitation and its
integration into a hybrid exoskeleton comprising an functional electrical stimulation (FES) system …

The known dichloride complexes [TiCl2L(O)2(OR)2] (type I: R = Me (1), n-Pr (2) and n-pentyl
(3); L(OH)2(OR)2 = 1,3-dialkyloxy-p-tert-butylcalix[4]arene), together with the new …

Artificial intelligence methods of time series are starting to play an increasing role in the
pharmaceutical field, and in recent years, there have been significant advances in self-…

A hybrid exoskeleton is a class of wearable robotic technology that simultaneously uses a
powered exoskeleton and functional electrical stimulation (FES) to generate assistive joint …