Results 21 to 30 of about 25,230 (166)
Methods of Pre-Identification of TITO Systems
The content of this article is the presentation of methods used to identify systems before actual control, namely decentralized control of systems with Two Inputs, Two Outputs (TITO) and with two interactions.
Milan Saga +6 more
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In this article, we consider the identification problem of a class of nonlinear multiple-input single-output output-error autoregressive systems. First, a recursive generalized least squares algorithm using the auxiliary model identification idea is ...
Cheng Wang, Jing Xun
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With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of ...
Xiangdong Sun +4 more
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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.
Jianqiang Lin, Shing-Chow Chan
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Recursive Identification Methods [PDF]
Since the dynamics of real systems are either time varying or nonlinear in nature, the self-tuning controller design is appropriate where a recursive identification algorithm is utilized to monitor or track the process behaviour. The systems identification algorithms are utilized to estimate the parameters representing the dynamics of the underlying ...
openaire +1 more source
Fast-tracking method of inertial constant based on system identification
Aiming at the problem of quantitative inertia evaluation of a new energy electric power system, the system inertia constant tracking method based on system identification is studied.
Hu Xuekai +4 more
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In order to solve the problem that the system parameters will be offset during the detection process of the pulsed eddy current receiving coil, this paper first analyzes the response signal of the receiving system and the deconvolution process of the ...
Zhiwu Zeng +10 more
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The maximum likelihood principle has wide applications in system identification. This paper studies the maximum likelihood identification problems of the multivariate equation-error systems with colored noise.
Lijuan Liu +5 more
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As one of the most catastrophic natural disasters worldwide, earthquakes and their effect on structures are very important to structural health monitoring (SHM), particularly for the ones living around the Pacific ring of fire.
Shieh-Kung Huang +2 more
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This article primarily investigates the identification problem for two-input one-output nonlinear controlled autoregressive moving average system. Drawing from the auxiliary model identification idea and the key-term separation technique, this article ...
Fang Qiu, Yan Ji
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