Results 81 to 90 of about 1,828,697 (335)

Exploring the Design, Modeling, and Identification of Beneficial Nonlinear Restoring Forces: A Review

Applied Sciences
Exploring the design of beneficial nonlinear restoring force structures has become a highly popular topic due to their extensive applications in energy harvesting, actuation, energy absorption, robotics, etc.
Qinghua Liu
doaj   +1 more source

Sim-to-real transfer in reinforcement learning-based, non-steady-state control for chemical plants

SICE Journal of Control, Measurement, and System Integration, 2022
We present a novel framework for controlling non-steady situations in chemical plants to address the behavioural gaps between the simulator for constructing the reinforcement learning-based controller and the real plant considered for deploying the ...
Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka   +2 more
doaj   +1 more source

Nonlinear system identification and control using state transition algorithm

, 2015
By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solve the problems.
Alfi, Aliprantis, Alireza, Astrom, Chang, Chen, Chunhua Yang, Clerc, Fei, Goldberg, Holland, Kömürcü, Li, Li, Li, Marion, Modares, Seng, Shi, Shinskey, Valarmathi, Weihua Gui, Xiaojun Zhou, Zhou, Zhou   +24 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

Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach

Applied Sciences
Most works related to the identification of mathematical nonlinear systems suggest that such approaches can always be directly applied to any nonlinear system. This misconception is greatly discouraging when the obtained results are not expected.
Rodolfo Daniel Velázquez-Sánchez, Jonathan Omega Escobedo-Alva, Raymundo Peña-García, Ricardo Tapia-Herrera, Jesús Alberto Meda-Campaña   +4 more
doaj   +1 more source

A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel

International Journal of Applied Mathematics and Computer Science, 2015
The paper presents algorithms for parameter identification of linear vessel models being in force for the current operating point of a ship. Advantages and disadvantages of gradient and genetic algorithms in identifying the model parameters are discussed.
Bańka Stanisław, Brasel Michał, Dworak Paweł, Jaroszewski Krzysztof   +3 more
doaj   +1 more source

Foreword [PDF]

, 1947
This paper considers identification of unknown parameters in elastic dynamic models of industrial robots. Identifying such models is a challenging task since an industrial robot is a multivariable, nonlinear, resonant, and unstable system.
Moberg, Stig, Wernholt, Erik
core   +2 more sources

Association of CDKN2A/B Homozygous Deletion and Extent of Resection With Survival of Patients With WHO CNS5 Grade 4 Astrocytoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai, Guanglin Zhu, Qiu He, Chen Luo, Lingyun Zhuo, Xingfu Wang, Yiming Chen, Xiaoyong Chen, Wendong You, Jiaheng Xu, Yuanxiang Lin, Dezhi Kang, Shuai Wu, Zanyi Wu   +13 more
wiley   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

Nonlinear system identification using modified variational autoencoders

Intelligent Systems with Applications
This research proposes a methodology for identifying nonlinear systems using input/output data and deep learning generative models. Our framework integrates Variational Autoencoders (VAE) with Nonlinear Autoregressive with exogenous input (NARX) in a ...
Jose L. Paniagua, Jesús A. López
doaj   +1 more source