AIMC Topic: Nonlinear Dynamics

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Verhulst map measures: new biomarkers for heart rate classification.

Physical and engineering sciences in medicine Mar 18, 2022
Recording, monitoring, and analyzing biological signals has received significant attention in medicine. A fundamental phase for understanding a bio-system under various conditions is to process the corresponding bio-signal appropriately. To this effe...
Biomarkers Support Vector Machine Bayes Theorem Heart Rate Nonlinear Dynamics
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Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

IEEE transactions on cybernetics Mar 11, 2022
In this article, we introduce a novel approximate optimal decentralized control scheme for uncertain input-affine nonlinear-interconnected systems. In the proposed scheme, we design a controller and an event-triggering mechanism (ETM) at each subsyst...
Neural Networks, Computer Learning Feedback Policy Nonlinear Dynamics
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Neural-Network Adaptive Output-Feedback Saturation Control for Uncertain Active Suspension Systems.

IEEE transactions on cybernetics Mar 11, 2022
The adaptive neural-network (NN) output-feedback control problem is investigated for a quarter-car active suspension system. The sprung mass and the suspension stiffness in the considered suspension system are unknown, and the part states are not mea...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Memristor Neural Networks for Linear and Quadratic Programming Problems.

IEEE transactions on cybernetics Mar 11, 2022
This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, quadratic programming (QP) and linear programming (LP) problems. The networks, which are called memristor programming NNs (MPNNs), use a set of filament...
Neural Networks, Computer Nonlinear Dynamics
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System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer.

IEEE transactions on cybernetics Mar 11, 2022
In this article, a novel disturbance observer-based adaptive neural control (ANC) scheme is proposed for full-state-constrained pure-feedback nonlinear systems using a new system transformation method. A nonlinear transformation function in a uniform...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics
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A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems.

International journal of neural systems Mar 8, 2022
Nonlinear spiking neural P (NSNP) systems are a recently developed theoretical model, which is abstracted by nonlinear spiking mechanism of biological neurons. NSNP systems have a nonlinear structure and the potential to describe nonlinear dynamic sy...
Neural Networks, Computer Forecasting Time Factors Nonlinear Dynamics Wavelet Analysis
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Introducing a Novel Model-Free Multivariable Adaptive Neural Network Controller for Square MIMO Systems.

Sensors (Basel, Switzerland) Mar 8, 2022
In this study, a novel Multivariable Adaptive Neural Network Controller (MANNC) is developed for coupled model-free n-input n-output systems. The learning algorithm of the proposed controller does not rely on the model of a system and uses only the h...
Neural Networks, Computer Algorithms Computer Simulation Models, Biological Nonlinear Dynamics
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Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions.

Scientific reports Mar 8, 2022
Neural networks (NNs) and linear stochastic estimation (LSE) have widely been utilized as powerful tools for fluid-flow regressions. We investigate fundamental differences between them considering two canonical fluid-flow problems: (1) the estimation...
Neural Networks, Computer Algorithms Nonlinear Dynamics
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Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This article solves the problem of optimal synchronization, which is important but challenging for coupled fractional-order (FO) chaotic electromechanical devices composed of mechanical and electrical oscillators and electromagnetic filed by using a ...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This article addresses the output feedback control of micromechanical (MEMS) gyroscopes using neural networks (NNs) and disturbance observer (DOB). For the unmeasured system states, the state observer and the high gain observer are constructed. The a...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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