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Prandtl-Ishlinskii Modeling for Giant Magnetostrictive Actuator Based on Internal Time-Delay Recurrent Neural Network

https://doi.org/10.1109/tmag.2018.2827397

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jmmm.2017.06.050openalex-snapshot

A one-dimension nonlinear hysteretic constitutive model with elasto-thermo-magnetic coupling for giant magnetostrictive materials

inferredcites →https://doi.org/10.1016/j.jprocont.2007.10.012openalex-snapshot

Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation

inferredcites →https://doi.org/10.1016/j.sna.2017.05.009openalex-snapshot

Parameter identification of Jiles–Atherton model for magnetostrictive actuator using hybrid niching coral reefs optimization algorithm

inferredcites →https://doi.org/10.1016/j.ymssp.2017.09.004openalex-snapshot

Further results on open-loop compensation of rate-dependent hysteresis in a magnetostrictive actuator with the Prandtl-Ishlinskii model

inferredcites →https://doi.org/10.1016/s0141-6359(97)00014-7openalex-snapshot

Generalized preisach model for hysteresis nonlinearity of piezoceramic actuators

inferredcites →https://doi.org/10.1016/s0957-4158(01)00043-5openalex-snapshot

On the classical Preisach model for hysteresis in piezoceramic actuators

inferredcites →https://doi.org/10.1080/02564602.2014.968642openalex-snapshot

Modified KP Model for Hysteresis of Magnetic Shape Memory Alloy Actuator

inferredcites →https://doi.org/10.1088/0964-1726/13/3/004openalex-snapshot

Giant magnetostrictive actuators for active vibration control

inferredcites →https://doi.org/10.1088/0964-1726/24/12/125006openalex-snapshot

Modeling and compensating the dynamic hysteresis of piezoelectric actuators via a modified rate-dependent Prandtl–Ishlinskii model

inferredcites →https://doi.org/10.1109/intmag.2017.8007946openalex-snapshot

Elman neural network-based identification of Krasnosel'skii-Pokrovskii model for magnetic shape memory alloys actuator

inferredcites →https://doi.org/10.1109/tase.2013.2284437openalex-snapshot

Compensation of Hysteresis Nonlinearity in Magnetostrictive Actuators With Inverse Multiplicative Structure for Preisach Model

inferredcites →https://doi.org/10.1109/tcst.2015.2413497openalex-snapshot

Rate-Dependent Modeling and $\text{H}_{\mathrm {\infty }}$ Robust Control of GMA Based on Hammerstein Model With Preisach Operator

inferredcites →https://doi.org/10.1109/tmag.2006.871465openalex-snapshot

Modeling dynamic hysteresis for giant magnetostrictive actuator using hybrid genetic algorithm

inferredcites →https://doi.org/10.1109/tmag.2008.2001669openalex-snapshot

Modeling and Experimental Analysis of Magnetostrictive Devices: From the Material Characterization to Their Dynamic Behavior

inferredcites →https://doi.org/10.1109/tmag.2015.2434933openalex-snapshot

Hysteresis Model of Magnetically Controlled Shape Memory Alloy Based on a PID Neural Network

inferredcites →https://doi.org/10.1109/tmag.2017.2700479openalex-snapshot

Elman Neural Network-Based Identification of Krasnosel’skii–Pokrovskii Model for Magnetic Shape Memory Alloys Actuator

What points at this work

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An Intelligent Magnetic Hysteresis Model Based on a Backpropagation Neural Network with Preisach Operators

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Modeling and compensation of hysteresis for pneumatic artificial muscles based on Gaussian mixture models

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A hybrid Jiles–Atherton and Preisach model of dynamic magnetic hysteresis based on backpropagation neural networks

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Model-free compensation learning control of asymmetric hysteretic systems with initial state learning

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Hysteresis modeling and compensation of a pneumatic end-effector based on Gaussian process regression

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From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems

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Investigation on Enhanced Machinability of SiC Ceramics through Photocatalytic Vibration Composite Polishing

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A neural-network-based hysteresis model for piezoelectric actuators

inferred← citeshttps://doi.org/10.1063/1.5129540openalex-snapshot

A hopfield neural network-based Bouc-Wen model for magnetic shape memory alloy actuator

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Decoupled identification and compensation of nonlinear hysteresis cascading with linear dynamic in a moving magnet voice coil actuator

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Feasibility study on contactless infusion pump based on giant magnetostrictive actuator

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Development of a butterfly hysteresis structure for dielectric elastomer-actuated systems

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Iterative Learning and Fractional Order PID Hybrid Control for a Piezoelectric Micro-Positioning Platform

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Research on Hammerstein Modeling of a Giant Magnetostrictive Actuator

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Inverse Control of Piezoelectric Motion Systems with Hysteresis Modeling and Parameter Optimization

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Guaranteeing Preselected Tracking Control of Loaded Piezoelectric-actuated Micro-Positioning Platform

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Hysteresis Modeling of Magnetic Shape Memory Alloy using a NARMAX Structure Model

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Adaptive Implicit Inverse Control for a Class of Butterfly-Like Hysteretic Nonlinear Systems and Its Application to Dielectric Elastomer Actuators

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Neural-Network-Based Iterative Learning Control for Hysteresis in a Magnetic Shape Memory Alloy Actuator

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Global Linearization Identification and Compensation of Nonresonant Dispersed Hysteresis for Piezoelectric Actuator

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Magnetization Mechanism-Inspired Neural Networks for Core Loss Estimation

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Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

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Coupling Modeling and Adaptive Control for Piezoelectric-Actuated Positioning Stage

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Adaptive Tracking Control for the Piezoelectric Actuated Stage Using the Krasnosel’skii-Pokrovskii Operator

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Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages

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