AIMC Topic: Nonlinear Dynamics

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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...
Neural Networks, Computer Machine Learning Neuronal Plasticity Models, Neurological Action Potentials Algorithms Feedback Nonlinear Dynamics Reinforcement, Psychology Robotics Neurons
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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...
Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation Feedback
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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 Regression Analysis Bayes Theorem Nonlinear Dynamics Machine Learning 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 ...
Memory, Episodic Nonlinear Dynamics Nerve Net Models, Neurological Neurons Humans Computer Simulation Animals Neural Networks, Computer
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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...
Neurons Neural Networks, Computer Nonlinear Dynamics Artificial Intelligence Deep Learning Photons Algorithms Time Factors Feedback
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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 Security Deception Algorithms Nonlinear Dynamics Computer Simulation Neural Networks, Computer
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Optimal synchronization with L-gain performance: An adaptive dynamic programming approach.

Neural networks : the official journal of the International Neural Network Society Jul 25, 2024
This paper studies an optimal synchronous control protocol design for nonlinear multi-agent systems under partially known dynamics and uncertain external disturbance. Under some mild assumptions, Hamilton-Jacobi-Isaacs equation is derived by the perf...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2024
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and delay-independent criteria on the...
Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Neural Networks, Computer Feedback Algorithms Time Factors Computer Simulation Nonlinear Dynamics
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A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2024
This paper proposes a novel fractional-order memristive Hopfield neural network (HNN) to address traveling salesman problem (TSP). Fractional-order memristive HNN can efficiently converge to a globally optimal solution, while conventional HNN tends t...
Computer Simulation Neural Networks, Computer Nonlinear Dynamics Algorithms
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