Convergence of Direct Recursive Algorithm for Identification of Preisach Hysteresis Model with Stochastic Input

DOI10.1137/140986633zbMath1341.93092arXiv1503.02051OpenAlexW1588713804MaRDI QIDQ5740324

Michael S. Ruderman, Dmitrii I. Rachinskii

Publication date: 26 July 2016

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.02051

zbMATH Keywords

identification problemrecursive algorithmexponential convergence rateinput-output operatorstochastic inputmodel of hysteresis

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Problems involving hysteresis in solids (74N30) Equations with nonlinear hysteresis operators (47J40)

Related Items (4)

Nonideal Relay with Random Parameters ⋮ The devil is in the details: spectrum and eigenvalue distribution of the discrete Preisach memory model ⋮ Стохастическая модель гистерезисного преобразователя с доменной структурой ⋮ Dynamics of SIR model with vaccination and heterogeneous behavioral response of individuals modeled by the Preisach operator

Uses Software

• HysterSoft

Cites Work

• Unnamed Item
• Unnamed Item
• Noise-driven phenomena in hysteretic systems
• Linear stability analysis of systems with Preisach memory
• Identification of hysteric control influence operators representing smart actuators. I: Formulation
• Differential models of hysteresis
• Stability of large cycles in a nonsmooth problem with Hopf bifurcation at infinity
• A least squares method for finding the Preisach hysteresis operator from measurements
• Hysteresis and phase transitions
• Asymptotic stability of continuum sets of periodic solutions to systems with hysteresis
• Memory Effects in Population Dynamics : Spread of Infectious Disease as a Case Study
• Recursive identification algorithm for dynamic systems with output backlash and its convergence
• Basics of Applied Stochastic Processes
• Compensation of Complex Hysteresis and Creep Effects in Piezoelectrically Actuated Systems —A New Preisach Modeling Approach
• Adaptive identification and control of hysteresis in smart materials
• Control of hysteretic systems through inverse compensation
• Parameter estimation techniques for a class of nonlinear hysteresis models

This page was built for publication: Convergence of Direct Recursive Algorithm for Identification of Preisach Hysteresis Model with Stochastic Input