AIMC Topic: Finite Element Analysis

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Finite-Time Tracking Control for Nonlinear Systems via Adaptive Neural Output Feedback and Command Filtered Backstepping.

IEEE transactions on neural networks and learning systems Apr 2, 2021
This article is concerned with the tracking control problem for uncertain high-order nonlinear systems in the presence of input saturation. A finite-time control strategy combined with neural state observer and command filtered backstepping is propos...
Artificial Intelligence Algorithms Humans Neural Networks, Computer Nonlinear Dynamics Finite Element Analysis Computer Simulation Feedback
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Inverse identification of hyperelastic constitutive parameters of skeletal muscles via optimization of AI techniques.

Computer methods in biomechanics and biomedical engineering Mar 31, 2021
Studies on the deformation characteristics and stress distribution in loaded skeletal muscles are of increasing importance. Reliable prediction of hyperelastic material parameters requires an inverse process, which possesses challenges. This work pro...
Models, Biological Stress, Mechanical Elasticity Finite Element Analysis Artificial Intelligence Muscle, Skeletal Bayes Theorem
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A Machine Learning Approach as a Surrogate for a Finite Element Analysis: Status of Research and Application to One Dimensional Systems.

Sensors (Basel, Switzerland) Feb 27, 2021
Current maintenance intervals of mechanical systems are scheduled a priori based on the life of the system, resulting in expensive maintenance scheduling, and often undermining the safety of passengers. Going forward, the actual usage of a vehicle wi...
Finite Element Analysis Machine Learning Algorithms Neural Networks, Computer
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A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time - varying transvalvular pressure.

Journal of the mechanical behavior of biomedical materials Feb 12, 2021
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis, computational fluid dynamics, and fluid-structure interaction. In this study, our objective was to ...
Models, Cardiovascular Heart Valves Heart Valve Prosthesis Finite Element Analysis Deep Learning Aortic Valve Prosthesis Design
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Isogeometric finite element-based simulation of the aortic heart valve: Integration of neural network structural material model and structural tensor fiber architecture representations.

International journal for numerical methods in biomedical engineering Feb 10, 2021
The functional complexity of native and replacement aortic heart valves (AVs) is well known, incorporating such physical phenomenons as time-varying non-linear anisotropic soft tissue mechanical behavior, geometric non-linearity, complex multi-surfac...
Finite Element Analysis Models, Cardiovascular Neural Networks, Computer Computer Simulation Heart Valves
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Finite-time cluster synchronization in complex-variable networks with fractional-order and nonlinear coupling.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2020
This paper is primarily concentrated on finite-time cluster synchronization of fractional-order complex-variable networks with nonlinear coupling by utilizing the non-decomposition method. Firstly, two control strategies are designed which are releva...
Neural Networks, Computer Time Factors Finite Element Analysis Cluster Analysis Nonlinear Dynamics
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Real-time biomechanics using the finite element method and machine learning: Review and perspective.

Medical physics Dec 7, 2020
PURPOSE: The finite element method (FEM) is the preferred method to simulate phenomena in anatomical structures. However, purely FEM-based mechanical simulations require considerable time, limiting their use in clinical applications that require real...
Algorithms Computer Simulation Biomechanical Phenomena Finite Element Analysis Machine Learning
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Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.

IEEE transactions on neural networks and learning systems Nov 30, 2020
The aim of this article is to investigate the trajectory tracking problem of systems with uncertain models and state restrictions using differential neural networks (DNNs). The adaptive control design considers the design of a nonparametric identifie...
Computer Simulation Neural Networks, Computer Finite Element Analysis Models, Theoretical Robotics Uncertainty Algorithms Nonlinear Dynamics
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Stochastic Finite-Time H State Estimation for Discrete-Time Semi-Markovian Jump Neural Networks With Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 30, 2020
In this article, the finite-time H state estimation problem is addressed for a class of discrete-time neural networks with semi-Markovian jump parameters and time-varying delays. The focus is mainly on the design of a state estimator such that the co...
Stochastic Processes Finite Element Analysis Algorithms Markov Chains Neural Networks, Computer
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Leveraging machine learning for predicting human body model response in restraint design simulations.

Computer methods in biomechanics and biomedical engineering Nov 12, 2020
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent variables were performed. Ordinary l...
Computer Simulation Human Body Humans Neural Networks, Computer Support Vector Machine Finite Element Analysis Machine Learning
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