Results 61 to 70 of about 975,613 (342)

CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez, Corinne Pettigrew, Yuxin Zhu, Claire Anderson, Guray Erus, Christos Davatzikos, Michael Miller, Abhay Moghekar, Sungtaek Oh, Chan‐Hyun Na, Marilyn Albert, Paul Worley, Anja Soldan   +12 more
wiley   +1 more source

$\mathcal {H}_{2}$- and $\mathcal {H}_\infty$-Optimal Model Predictive Controllers for Robust Legged Locomotion

IEEE Open Journal of Control Systems
This paper formally develops robust optimal predictive control solutions that can accommodate disturbances and stabilize periodic legged locomotion.
Abhishek Pandala, Aaron D. Ames, Kaveh Akbari Hamed   +2 more
doaj   +1 more source

Constrained controllability of nonlinear systems [PDF]

Proceedings of the 2003 American Control Conference, 2003., 1995
This paper contains constrained exact local controllability results for nonlinear abstract differential equations. A generalization of the open mapping theorem is used for the sufficient conditions to guarantee controllability. The values of controls are in a convex, closed cone with vertex at 0.
openaire   +2 more sources

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Tuning and Feasibility Analysis of Classical First-Order MIMO Non-Linear Sliding Mode Control Design for Industrial Applications

Machines, 2019
Model-based control techniques have been gaining more and more interest these days. These complex control systems are mostly based on theories, such as feedback linearization, model predictive control, adaptive and robust control.
Alessandro Palmieri, Renato Procopio, Andrea Bonfiglio, Massimo Brignone, Marco Invernizzi, Andrea Morini, Boban Veselic’   +6 more
doaj   +1 more source

H∞ control of nonlinear systems: a convex characterization [PDF]

, 1993
The nonlinear H∞-control problem is considered with an emphasis on developing machinery with promising computational properties. The solutions to H∞-control problems for a class of nonlinear systems are characterized in terms of nonlinear matrix ...
Doyle, John C., Lu, Wei-Min
core   +3 more sources

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +1 more source

Experimental analysis of passivity‐based control theory for permanent magnet synchronous motor drive fed by grid power

IET Control Theory & Applications
Controlling the Permanent Magnet Synchronous Motor (PMSM) can be challenging due to the nonlinearity of its dynamics, which makes it difficult to design control strategies that are both robust and effective. To address this challenge, this paper presents
Youcef Belkhier, Achour Abdelyazid, Adel Oubelaid, Nima Khosravi, Mohit Bajaj, Pradeep Vishnuram, Ievgen Zaitsev   +6 more
doaj   +1 more source

Hysteresis Quantizer-Based Event-Triggered Control of Nonlinear Networked Control Systems

IEEE Access, 2019
In this paper, we present a novel event-triggered control mechanism for nonlinear systems with hysteresis quantization. To describe the tendency of the dynamic quantizer parameter, an auxiliary parameter is created and the relationship between the ...
Tianwei Zhou, Tao Zhou
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source