AIMC Topic: Nonlinear Dynamics

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Adaptive Neural-Network-Based Fault-Tolerant Control for a Flexible String With Composite Disturbance Observer and Input Constraints.

IEEE transactions on cybernetics Nov 18, 2022
We propose an adaptive neural-network-based fault-tolerant control scheme for a flexible string considering the input constraint, actuator gain fault, and external disturbances. First, we utilize a radial basis function neural network to compensate f...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2022
We study the robust stabilization problem of a class of nonlinear systems with asymmetric saturating actuators and mismatched disturbances. Initially, we convert such a robust stabilization problem into a nonlinear-constrained optimal control problem...
Neural Networks, Computer Algorithms Learning Feedback Nonlinear Dynamics
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Bionic adaptive fault-tolerant control of non-Gaussian stochastic attitude hypersonic vehicle.

Scientific reports Nov 15, 2022
This study investigates an adaptive fault-tolerant control (FTC) for hypersonic flight vehicles (HFVs) with incipient faults and non-Gaussian stochastic output attitudes. In the nonlinear HFV dynamics, a hybrid fuzzy approximation method achieves the...
Artificial Intelligence Algorithms Computer Simulation Nonlinear Dynamics Bionics
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Numerical performances through artificial neural networks for solving the vector-borne disease with lifelong immunity.

Computer methods in biomechanics and biomedical engineering Nov 14, 2022
The current study is related to solve a nonlinear vector-borne disease with a lifelong immunity model (VDLIM) by designing a computational stochastic framework using the strength of artificial Levenberg-Marquardt backpropagation neural network (ALMBN...
Neural Networks, Computer Algorithms Reproducibility of Results Nonlinear Dynamics
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Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2022
This paper addresses decentralized tracking control (DTC) problems for input constrained unknown nonlinear interconnected systems via event-triggered adaptive dynamic programming. To reconstruct the system dynamics, a neural-network-based local obser...
Neural Networks, Computer Computer Simulation Feedback Policy Nonlinear Dynamics
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Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot.

IEEE transactions on neural networks and learning systems Oct 27, 2022
This study proposes the time-/event-triggered adaptive neural control strategies for the asymptotic tracking problem of a class of uncertain nonlinear systems with full-state constraints. First, we design a time-triggered strategy. The effect caused ...
Neural Networks, Computer Computer Simulation Robotics Nonlinear Dynamics Uncertainty
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Command-Filtered Robust Adaptive NN Control With the Prescribed Performance for the 3-D Trajectory Tracking of Underactuated AUVs.

IEEE transactions on neural networks and learning systems Oct 27, 2022
A novel robust adaptive neural network (NN) control scheme with prescribed performance is developed for the 3-D trajectory tracking of underactuated autonomous underwater vehicles (AUVs) with uncertain dynamics and unknown disturbances using new pres...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics Uncertainty
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Neural Adaptive Self-Triggered Control for Uncertain Nonlinear Systems With Input Hysteresis.

IEEE transactions on neural networks and learning systems Oct 27, 2022
The issue of neural adaptive self-triggered tracking control for uncertain nonlinear systems with input hysteresis is considered. Combining radial basis function neural networks (RBFNNs) and adaptive backstepping technique, an adaptive self-triggered...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics Uncertainty
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A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Multivariate analysis is an important kind of method in process monitoring and fault detection, in which the canonical correlation analysis (CCA) makes use of the correlation change between two groups of variables to distinguish the system status and...
Neural Networks, Computer Nonlinear Dynamics Canonical Correlation Analysis
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Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift.

Environmental science and pollution research international Oct 25, 2022
As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensive, drift predicting models may provide a practical complement. Several mechanistic models have been developed as drift prediction tool for various typ...
Neural Networks, Computer Least-Squares Analysis Nonlinear Dynamics Linear Models Multivariate Analysis
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