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Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2017.10.001
Abstract: In this paper, we study the system identification of multi-input multi-output (MIMO) Hammerstein processes under the typical heavy-tailed noise. To the best of our knowledge, there is no general analytical method to solve this identification…
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Keywords:
algorithm;
heavy tailed;
optimization;
hammerstein ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3433583
Abstract: This paper proposes a new smoothly clipped absolute deviation (SCAD) regularized recursive identification algorithm for nonlinear Hammerstein systems having a finite duration impulse response (FIR) linear part in impulsive noise environment. It extends the conventional…
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Keywords:
hammerstein;
algorithm;
impulsive noise;
model ... See more keywords
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Published in 2024 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2024.3509797
Abstract: We demonstrate that system identification techniques can provide a basis for effective, nonintrusive model order reduction (MOR) for common circuits that are key building blocks in microelectronics. Our approach is motivated by the practical operation…
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Keywords:
nonintrusive data;
model order;
order reduction;
hammerstein ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3183343
Abstract: The Hammerstein model has been successfully used to model various industrial systems, while the parameter estimation of such a model is difficult. In this article, a novel adaptive parameter estimation scheme is proposed for the…
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Keywords:
dead zone;
parameter estimation;
model;
estimation ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3180195
Abstract: Hammerstein model with a static nonlinearity followed by a linear filter is commonly used in numerous applications. This paper focuses on adaptive filtering techniques for parameter identification of Hammerstein systems and output prediction of nonlinear…
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Keywords:
recursive non;
non convex;
rncpls algorithm;
hammerstein ... See more keywords
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Published in 2025 at "Journal of Computational and Nonlinear Dynamics"
DOI: 10.1115/1.4068718
Abstract: Fractional calculus, an extension of traditional calculus to non-integer order, has become an influential tool for modeling complex engineering problems by incorporating historical data for better system understanding. This research investigates the parameter estimation of…
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Keywords:
model based;
hammerstein;
auxiliary model;
parameter estimation ... See more keywords
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Published in 2024 at "Journal of Intelligent Material Systems and Structures"
DOI: 10.1177/1045389x241286184
Abstract: Graphical Abstract This paper utilizes the optimized composite neural network (OCNN)-Hammerstein model to directly identify the dynamic inverse hysteresis effect, employing it as a feedforward controller to compensate for the rate-dependent and amplitude-dependent dynamic hysteresis…
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Keywords:
hammerstein model;
neural network;
optimized composite;
hammerstein ... See more keywords
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Published in 2020 at "International Journal of Nonlinear Sciences and Numerical Simulation"
DOI: 10.1515/ijnsns-2018-0367
Abstract: Abstract The aim of this work is to establish fixed point theorems under rational type contractions in the framework of complex-valued metric spaces. These theorems extend and generalize some prominent results in the present literature.…
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Keywords:
inequality applications;
type inequality;
hammerstein;
integral equations ... See more keywords