Results 51 to 60 of about 884,273 (294)

Optimization of Nonlinear Systems in Controlling Parameters

IFAC Proceedings Volumes, 2001
The optimization of a quadratic phase dynamical system in controlling parameters is considered. The exact formula of cost function increment in optimization problem is described. On the base of exact formula a gradient vector and matrix of second partial derivatives for cost function are obtained. The computing of optimal parameters is done with second
openaire   +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

Feedback Control of Coupled Nonlinear Oscillators with Uncertain Parameters

Systems & Control Letters
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bharat Singhal, Jr-Shin Li
openaire   +3 more sources

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew, Maryam Kargaran, Maik Rothe, Andreas Deistung, Dietrich Stoevesandt, Walter A. Wohlgemuth, David Strube, Thomas Kendzierski, Anna Katharina Kölsch, Maurits Gerhard Abraham Heuschen, Markus Otto, Alexander Mensch   +11 more
wiley   +1 more source

Nonlinear optical properties in a quantum well with the hyperbolic confinement potential

, 2011
We have performed theoretical calculation of the nonlinear optical properties in a quantum well (QW) with the hyperbolic confinement potential. Calculation results reveal that the transition energy, oscillator strength, second-order nonlinear optical ...
Baskoutas, Chakraborty, Chen, Dong, Kuhn, Leininger, Lu, Lu, Luo, Notomi, Peng, Quinn, Rosencher, Rosencher, Schiöberg, Shijun Liang, Singh, Tairong Chen, Tiwari, Tsirkin, Wang, Wenfang Xie, Williamson, Williamson, Xie, Zalużny, Zhang, Zhang   +27 more
core   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Optimal PID Controller Parameters Tuning for a 3D Satellite Simulator Based on Particle Swarm Optimization Algorithm [PDF]

فصلنامه علوم و فناوری فضایی
Due to its effectiveness and practicality, the proportional-integral-derivative (PID) controller remains a cornerstone of industrial control systems.
Mehran Mahdiabadi, Hamed Arefkhani, Amirhosein Tavakoli, Seyyed Hosein Sadati   +3 more
doaj   +1 more source

Nonlinear Adaptive Boundary Control of the Modified Generalized Korteweg–de Vries–Burgers Equation

Complexity, 2020
In this paper, we study the nonlinear adaptive boundary control problem of the modified generalized Korteweg–de Vries–Burgers equation (MGKdVB) when the spatial domain is 0,1.
B. Chentouf, N. Smaoui, A. Alalabi
doaj   +1 more source

Recurrent backpropagation and the dynamical approach to adaptive neural computation [PDF]

, 1989
Error backpropagation in feedforward neural network models is a popular learning algorithm that has its roots in nonlinear estimation and optimization.
Pineda, Fernando J.
core  

Tunable nonlinearity in atomic response to a bichromatic field

, 2006
Atomic response to a probe beam can be tailored, by creating coherences between atomic levels with help of another beam. Changing parameters of the control beam will change the nature of coherences and hence the nature of atomic response as well.
Arimondo E, Arimondo E, Ashok Vudayagiri, Cohen-Tannoudji C, Risken H, Schmidt H, Surya P Tewari, Wang H, Xiao M   +8 more
core   +1 more source