Online Optimization Method for Nonlinear Model-Predictive Control in Angular Tracking for MEMS Micromirror [PDF]
In this brief, a precise angular tracking control strategy using nonlinear predictive optimization control (POC) approach is address. In order to deal with the model uncertainty and noise interference, a online Hammerstein-model-based POC is designed ...
Qingmei Cao, Yonghong Tan
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Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement [PDF]
The measurement of the transient pulsed electromagnetic (EM) field is essential for analyzing electromagnetic compatibility. Due to their good performance, D-dot sensors, combined with numerical integration computation for signal recovery, are commonly ...
Mengzhe Jin, Hao Li, Shanghe Liu
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A Non-Parametric Approach for Identification of Parameter Varying Hammerstein Systems
This paper presents a novel method for non-parametric identification of parameter-varying (PV) Hammerstein systems where the parameters of both the static nonlinearity and the linear dynamics change with a scheduling variable.
Ehsan Sobhani Tehrani, Robert E. Kearney
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Modeling and simulating dynamics of lithium-ion batteries using block-oriented models with piecewise linear static nonlinearity [PDF]
The article deals with the research of the efficiency of modelling the dynamics of voltage change in lithium-ion rechargeable batteries in charging/discharging modes using nonlinear block-oriented systems.
Mykhailenko Oleksii
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Identification Approach for Nonlinear MIMO Dynamics of Closed-Loop Active Magnetic Bearing System
A systematic identification approach for the rotor/radial active magnetic bearing (rotor/RAMB) system is presented in this study. First, the system identification of the controller of commercial TMP is undertaken, and the corresponding linear dynamic ...
Hsin-Lin Chiu
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This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model.
Jui Julakha Jahan +4 more
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Maximum Likelihood Identification of Dual-rate Hammerstein Systems
Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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This paper considers the parameter estimation problems of Hammerstein finite impulse response moving average (FIR–MA) systems. Based on the matrix transformation and the hierarchical identification principle, the Hammerstein FIR–MA system is recast into ...
Yan Ji, Jinde Cao
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Kernel Identification of Non-Linear Systems with General Structure
In the paper we deal with the problem of non-linear dynamic system identification in the presence of random noise. The class of considered systems is relatively general, in the sense that it is not limited to block-oriented structures such as Hammerstein
Grzegorz Mzyk +2 more
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