AIMC Topic: Nonlinear Dynamics

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Neural-network-based practical specified-time resilient formation maneuver control for second-order nonlinear multi-robot systems under FDI attacks.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
This paper presents a specified-time resilient formation maneuver control approach for second-order nonlinear multi-robot systems under false data injection (FDI) attacks, incorporating an offline neural network. Building on existing works in integra...
Neural Networks, Computer Time Factors Robotics Nonlinear Dynamics Algorithms Computer Simulation Computer Security
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Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2025
In this paper, a novel self-triggered optimal tracking control method is developed based on the online action-critic technique for discrete-time nonlinear systems. First, an augmented plant is constructed by integrating the system state with the refe...
Algorithms Learning Nonlinear Dynamics Time Factors Neural Networks, Computer Humans Machine Learning
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CPG-based neural control of peristaltic planar locomotion in an earthworm-like robot: evaluation of nonlinear oscillators.

Bioinspiration & biomimetics Feb 20, 2025
Earthworm-like robots have excellent locomotion capability in confined environments. Central pattern generator (CPG) based controllers utilize the dynamics of coupled nonlinear oscillators to spontaneously generate actuation signals for all segments,...
Computer Simulation Peristalsis Central Pattern Generators Biological Clocks Nonlinear Dynamics Animals Equipment Design Locomotion Nerve Net Robotics Biomimetics Equipment Failure Analysis Oligochaeta
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A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions.

BMC research notes Feb 19, 2025
The nonlinear Telegraph equation appears in a variety of engineering and science problems. This paper presents a deep learning algorithm termed physics-informed neural networks to resolve a hyperbolic nonlinear telegraph equation with Dirichlet, Neum...
Neural Networks, Computer Nonlinear Dynamics Algorithms Deep Learning
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MARBLE: interpretable representations of neural population dynamics using geometric deep learning.

Nature methods Feb 17, 2025
The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretable and consistent latent representations. We introduce a representatio...
Nonlinear Dynamics Models, Neurological Neurons Algorithms Computer Simulation Deep Learning Rats Animals Neural Networks, Computer
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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Tomography, X-Ray Computed Deep Learning Humans Nonlinear Dynamics Femur Imaging, Three-Dimensional Models, Statistical
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Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2025
For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal control by using Q-learning methods based on traditional quadratic utility functions. To solve this problem, this article proposes an accelerated safe Q...
Nonlinear Dynamics Neural Networks, Computer Machine Learning Learning Time Factors Algorithms Humans
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What is the impact of discrete memristor on the performance of neural network: A research on discrete memristor-based BP neural network.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2025
Artificial neural networks are receiving increasing attention from researchers. However, with the advent of big data era, artificial neural networks are limited by the Von Neumann architecture, making it difficult to make new breakthroughs in hardwar...
Humans Speech Nonlinear Dynamics Handwriting Neural Networks, Computer Algorithms
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The global convergence of some self-scaling conjugate gradient methods for monotone nonlinear equations with application to 3DOF arm robot model.

PloS one Jan 24, 2025
Conjugate Gradient (CG) methods are widely used for solving large-scale nonlinear systems of equations arising in various real-life applications due to their efficiency in employing vector operations. However, the global convergence analysis of CG me...
Robotics Algorithms Nonlinear Dynamics Models, Theoretical
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CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model.

Neuroinformatics Jan 22, 2025
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existin...
Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Algorithms Neural Networks, Computer Nonlinear Dynamics Brain Neoplasms
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