AIMC Topic: Nonlinear Dynamics

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State transition learning with limited data for safe control of switched nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2024
Switching dynamics are prevalent in real-world systems, arising from either intrinsic changes or responses to external influences, which can be appropriately modeled by switched systems. Control synthesis for switched systems, especially integrating ...
Computer Simulation Nonlinear Dynamics Humans Machine Learning Algorithms Neural Networks, Computer
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Shot-Noise Limited Nonlinear Optical Imaging Excited With GHz Femtosecond Pulses and Denoised by Deep-Learning.

Journal of biophotonics Sep 1, 2024
Multiphoton fluorescence microscopy excited with femtosecond pulses at high repetition rates, particularly in the range of 100's MHz to GHz, offers an alternative solution to suppress photoinduced damage to biological samples, for example, photobleac...
Humans Animals Deep Learning Nonlinear Dynamics Signal-To-Noise Ratio Optical Imaging Time Factors Image Processing, Computer-Assisted
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Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Inertial neural networks are proposed via introducing an inertia term into the Hopfield models, which make their dynamic behavior more complex compared to the traditional first-order models. Besides, the aperiodically intermittent quantized control o...
Neural Networks, Computer Algorithms Humans Nonlinear Dynamics Computer Simulation Feedback
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Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2024
This paper addresses the tracking control problem of nonlinear discrete-time multi-agent systems (MASs). First, a local neighborhood error system (LNES) is constructed. Then, a novel tracking algorithm based on asynchronous iterative Q-learning (AIQL...
Machine Learning Algorithms Nonlinear Dynamics Computer Simulation Humans Neural Networks, Computer
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A new hybrid learning control system for robots based on spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions ar...
Reinforcement, Psychology Models, Neurological Action Potentials Neurons Nonlinear Dynamics Robotics Feedback Neuronal Plasticity Machine Learning Algorithms Neural Networks, Computer
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Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2024
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural networks is studied. Firstly, a FTCS criterion of the considered neural networks is obtained by designing a new delayed state feedback controller. Sec...
Algorithms Computer Simulation Neural Networks, Computer Nonlinear Dynamics Feedback Time Factors
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Bayesian learning of feature spaces for multitask regression.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
This paper introduces a novel approach to learn multi-task regression models with constrained architecture complexity. The proposed model, named RFF-BLR, consists of a randomised feedforward neural network with two fundamental characteristics: a sing...
Humans Neural Networks, Computer Nonlinear Dynamics Regression Analysis Machine Learning Bayes Theorem Algorithms
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Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory.

Journal of computational neuroscience Jul 31, 2024
The computational resources of a neuromorphic network model introduced earlier were investigated in the first paper of this series. It was argued that a form of ubiquitous spontaneous local convolution enabled logical gate-like neural motifs to form ...
Humans Neural Networks, Computer Nerve Net Computer Simulation Memory, Episodic Neurons Nonlinear Dynamics Animals Models, Neurological
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Photonic deep residual time-delay reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural networks, employing a nonlinear node with a feedback mechanism to construct virtual nodes. The capabilities of TDRC can be enhanced by transitioning to a deep a...
Deep Learning Algorithms Time Factors Neural Networks, Computer Nonlinear Dynamics Neurons Feedback Artificial Intelligence Photons
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Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
In this paper, the design of an adaptive neural event-triggered control scheme for a class of switched nonlinear systems affected by external disturbances and deception attacks is presented. In order to address the effects caused by unknown disturban...
Computer Simulation Deception Neural Networks, Computer Algorithms Nonlinear Dynamics Computer Security
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