This paper concentrates on the global practical tracking problem for a class of high-order switched nonlinear systems under arbitrary switching, whose powers and nonlinearities count on the switching signal. The sector-bounded approach is utilized to dispose of the control input, which is quantized by a logarithmic quantizer. Firstly, through the medium of adding a power integrator approach, a homogeneous output feedback controller is designed for the nominal part of the switched systems. Then, by virtue of the homogeneous domination idea and a common change of coordinates, scaled homogeneous output feedback controllers are achieved to assure global boundedness of all the states in the whole system and ensure the tracking error to converge into an arbitrarily small neighborhood of origin in a finite time. Finally, two examples are provided to test the validity of the proposed method.
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http://dx.doi.org/10.1016/j.isatra.2019.06.022 | DOI Listing |
J Adolesc Health
January 2025
The National Alliance to Advance Adolescent Health/Got Transition, Washington, D.C.
Purpose: There is a paucity of evidence examining clinician experiences with structured health-care transition (HCT) programs. Among HCT Learning Collaborative participants, this study describes clinician experiences with implementation of a structured HCT process: Got Transition's 6 Core Elements.
Methods: Representative members from 6 health systems designed a survey to collect clinician feedback regarding HCT and demographic and practice information.
Sci Rep
January 2025
Zhongyuan University of Technology, Zhengzhou, 450007, China.
This paper studies the practical prescribed-time control problem for dual-arm robots handling an object with output constraints. Firstly, by utilizing the property that the sum of internal forces in the grasping space is zero, the system model is obtained and decomposed into the contact force model and free motion model, which are orthogonal to each other. Furthermore, by combining the performance function and constraint function, the original system tracking error is transformed to a new one, whose boundedness can ensure that the original system variable converges to the predetermined range within the specified time.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.
Purpose: eHealth might contribute to changes in roles and responsibilities of patients and healthcare professionals (HCPs), including the patient's potential to enhance self-regulation. The aim of this study was to identify important aspects and experiences of self-regulation and factors that may support self-regulation in blended rehabilitation care.
Materials And Methods: Semi-structured interviews were conducted among HCPs and patients regarding perceptions and experiences with self-regulation in relation to a telerehabilitation portal.
Nutrients
January 2025
Department of Computer Engineering, Inje University, Gimhae 50834, Republic of Korea.
Background: Food image recognition, a crucial step in computational gastronomy, has diverse applications across nutritional platforms. Convolutional neural networks (CNNs) are widely used for this task due to their ability to capture hierarchical features. However, they struggle with long-range dependencies and global feature extraction, which are vital in distinguishing visually similar foods or images where the context of the whole dish is crucial, thus necessitating transformer architecture.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Biomedical and Robotics Engineering, Incheon National University, Incheon 22012, Republic of Korea.
With the rise of modern healthcare monitoring, heart rate (HR) estimation using remote photoplethysmography (rPPG) has gained attention for its non-contact, continuous tracking capabilities. However, most HR estimation methods rely on stable, fixed sampling intervals, while practical image capture often involves irregular frame rates and missing data, leading to inaccuracies in HR measurements. This study addresses these issues by introducing low-complexity timing correction methods, including linear, cubic, and filter interpolation, to improve HR estimation from rPPG signals under conditions of irregular sampling and data loss.
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