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In this study, the problem of trajectory tracking optimal control of robotic manipulator system subjected to external load disturbances is investigated, and an observer-based discrete fast terminal sliding mode predictive optimal control (FTSMPC) strategy is presented. Firstly, to address the unknown friction torque and load disturbances, a novel discrete-time extended state observer is designed to estimate the lumped disturbances, in which the boundedness of the observation error can be guaranteed through theoretical analysis. Then, with the outputs of the observer, an FTSMPC control approach is designed. In this control scheme, the reaching phase is optimized by designing a predictive input torque controller, which not only enhances the trajectory tracking response performance effectively but also makes the input torque curve smoother. Moreover, the theoretical stability proof of the system is verified strictly. Finally, a simulation case and an experimental application are carried out, and the comparison results show the excellent control performance of the proposed method.
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http://dx.doi.org/10.1016/j.isatra.2025.08.035 | DOI Listing |
NMR Biomed
October 2025
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.
View Article and Find Full Text PDFPLoS Biol
September 2025
Center for Neural Science, Department of Biology and Department of Psychology, New York University, New York, New York, United States of America.
Investigating social and independent behavior structure in early life is critical for understanding development and brain maturation in social mammals. However, this investigation necessitates monitoring animals over weeks to months often with subsecond time resolution creating challenges for both lab studies focused on brief observation periods and field studies in which animal tracking can be imprecise. Here we used machine vision and two-week long continuous behavior recordings of families of gerbils, a highly social rodent, in large, undisturbed home environments to quantify the behavioral development of individual pups.
View Article and Find Full Text PDFBioact Mater
December 2025
Division of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
The endometrium is a vital mucosal tissue which undergoes cyclical regeneration, differentiation, and remodeling upon hormonal, cellular, and molecular signaling networks. Dysregulation of these processes can trigger a range of pathological conditions including chronic inflammatory disorders, hyperplastic lesions, malignancies, and infertility, necessitating the need for effective therapeutic interventions. Furthermore, we are still dependent on conventional treatment modalities which are often constrained by inefficient drug biodistribution, systemic toxicity, and emergence of therapeutic resistance.
View Article and Find Full Text PDFData Brief
October 2025
School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA.
Unmanned Aerial Vehicles (UAVs) have become a critical focus in robotics research, particularly in the development of autonomous navigation and target-tracking systems. This journal article provides an overview of a multi-year IEEE-hosted drone competition designed to advance UAV autonomy in complex environments. The competition consisted of two primary challenges.
View Article and Find Full Text PDFISA Trans
August 2025
Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan 430081, China; Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China; School of Artifitial Intelligence and Automation, Wuhan U
As a critical component in hydropower systems, the Hydraulic Turbine Regulation System (HTRS) exhibits strong coupling characteristics that impose substantial challenges on control system design, necessitating the development of high-performance control strategies. To address the complex control requirements, this paper proposes an improved T-S fuzzy modeling method based on the Luenberger observer theory. It constructs a system model that combines high accuracy and simplicity.
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