Adaptive parameter identification of linear SISO systems with unknown time-delay

2014 ◽  
Vol 66 ◽  
pp. 43-50 ◽  
Author(s):  
Jing Na ◽  
Xuemei Ren ◽  
Yuanqing Xia
Keyword(s):  
Time Delay ◽  
Parameter Identification ◽  
Adaptive Parameter ◽  
Siso Systems

scholarly journals A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification

2020 ◽  
Vol 28 (2) ◽  
pp. 243-250 ◽  
Author(s):  
Yu Chen ◽  
Jin Cheng ◽  
Yu Jiang ◽  
Keji Liu
Keyword(s):  
Dynamical System ◽  
Time Delay ◽  
Parameter Identification ◽  
Typical Feature ◽  
The Novel ◽  
Isolation Rate ◽  
High Isolation ◽  
The Government ◽  
System With Time Delay ◽  
Official Data

AbstractIn this paper, we propose a novel dynamical system with time delay to describe the outbreak of 2019-nCoV in China. One typical feature of this epidemic is that it can spread in the latent period, which can therefore be described by time delay process in the differential equations. The accumulated numbers of classified populations are employed as variables, which is consistent with the official data and facilitates the parameter identification. The numerical methods for the prediction of the outbreak of 2019-nCoV and parameter identification are provided, and the numerical results show that the novel dynamic system can well predict the outbreak trend so far. Based on the numerical simulations, we suggest that the transmission of individuals should be greatly controlled with high isolation rate by the government.

On the Fragility of PI Controllers for Time-Delay SISO Systems

2008 ◽  
Author(s):  
Cesar Mendez-Barrios ◽  
Silviu-Iulian Niculescu ◽  
Constantin-Irinel Morarescu ◽  
Keqin Gu
Keyword(s):  
Time Delay ◽  
Pi Controllers ◽  
Siso Systems

scholarly journals A generalized smith predictor for unstable time-delay SISO systems

2018 ◽  
Vol 72 ◽  
pp. 197-204 ◽  
Author(s):  
R. Sanz ◽  
P. García ◽  
P. Albertos
Keyword(s):  
Time Delay ◽  
Smith Predictor ◽  
Siso Systems

Control of Uncertain LTI Systems Based on an Uncertainty and Disturbance Estimator

2004 ◽  
Vol 126 (4) ◽  
pp. 905-910 ◽  
Author(s):  
Qing-Chang Zhong ◽  
David Rees
Keyword(s):  
Time Delay ◽  
Robust Control ◽  
Robust Stability ◽  
Control Strategy ◽  
Time Delay Control ◽  
Delay Control ◽  
Uncertainty And Disturbance Estimator ◽  
Derivatives Of ◽  
Siso Systems ◽  
Disturbance Estimator

This paper proposes a robust control strategy for uncertain LTI systems. The strategy is based on an uncertainty and disturbance estimator (UDE). It brings similar performance as the time-delay control (TDC). The advantages over TDC are: (i) no delay is introduced into the system; (ii) there are no oscillations in the control signal; and (iii) there is no need of measuring the derivatives of the state vector. The robust stability of LTI-SISO systems is analyzed, and simulations are given to show the effectiveness of the UDE-based control with a comparison made with TDC.

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