AIMC Topic: Nonlinear Dynamics

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A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model.

Computational intelligence and neuroscience Jan 23, 2023
A nonlinear error correction model (ECM) is developed to fit nonlinear relationships between the nonstationary time series in a cointegration relationship. Different from the previous parametric methods, this paper constructs a hybrid neural network ...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Nonlinear Dynamics
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A novel optimization method for belief rule base expert system with activation rate.

Scientific reports Jan 11, 2023
Although the belief rule base (BRB) expert system has many advantages, such as the effective use of semi-quantitative information, objective description of uncertainty, and efficient nonlinear modeling capability, it is always limited by the problem ...
Nonlinear Dynamics Expert Systems Uncertainty
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Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting.

PloS one Dec 9, 2022
This research employs the gradient descent learning (FIR.DM) approach as a learning process in a nonlinear spectral model of maximum overlapping discrete wavelet transform (MODWT) to improve volatility prediction of daily stock market prices using Sa...
Neural Networks, Computer Forecasting Nonlinear Dynamics Wavelet Analysis
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Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks.

Journal of biophotonics Dec 7, 2022
In this work, the photoacoustic (PA) quantitative measurement of blood glucose concentration (BGC) influenced by multiple factors was firstly investigated. A set of PA detection system of blood glucose considering the comprehensive influence of five ...
Neural Networks, Computer Algorithms Animals Blood Glucose Rabbits Nonlinear Dynamics Photoacoustic Techniques
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Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Process complexities are characterized by strong nonlinearities, dynamics, and uncertainties. Monitoring such a complex process requires a high-quality model describing the corresponding nonlinear dynamic behavior. The proposed model is constructed u...
Neural Networks, Computer Nonlinear Dynamics Space Simulation
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IBLF-Based Adaptive Neural Control of State-Constrained Uncertain Stochastic Nonlinear Systems.

IEEE transactions on neural networks and learning systems Nov 30, 2022
In this article, the adaptive neural backstepping control approaches are designed for uncertain stochastic nonlinear systems with full-state constraints. According to the symmetry of constraint boundary, two cases of controlled systems subject to sym...
Neural Networks, Computer Computer Simulation Learning Nonlinear Dynamics Uncertainty
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Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach.

IEEE transactions on neural networks and learning systems Nov 30, 2022
The purpose of this article is to present a novel backstepping-based adaptive neural tracking control design procedure for nonlinear systems with time-varying state constraints. The designed adaptive neural tracking controller is expected to have the...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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A Review on Machine Learning Applications for Solar Plants.

Sensors (Basel, Switzerland) Nov 22, 2022
A solar plant system has complex nonlinear dynamics with uncertainties due to variations in system parameters and insolation. Thereby, it is difficult to approximate these complex dynamics with conventional algorithms whereas Machine Learning (ML) me...
Machine Learning Algorithms Reproducibility of Results Nonlinear Dynamics Sunlight
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Saturation-Tolerant Prescribed Control for a Class of MIMO Nonlinear Systems.

IEEE transactions on cybernetics Nov 18, 2022
This article proposes a saturation-tolerant prescribed control (SPC) for a class of multiinput and multioutput (MIMO) nonlinear systems simultaneously considering user-specified performance, unmeasurable system states, and actuator faults. To simplif...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Robust Adaptive Neural Control for Wing-Sail-Assisted Vehicle via the Multiport Event-Triggered Approach.

IEEE transactions on cybernetics Nov 18, 2022
This article presents a robust adaptive neural control algorithm for the wing-sail-assisted vehicle to track the desired waypoint-based route, where the event-triggered mechanism is with the multiport form. The main features of the proposed algorithm...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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