A transfer function model of lighting heat dissipation for detecting time-delay effect and dynamic cooling demand during the real-time operation of buildings

2021 ◽  
pp. 111538
Author(s):  
Ruonan Li ◽  
Jili Zhang
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Heat Dissipation ◽  
Transfer Function Model ◽  
Delay Effect ◽  
Function Model ◽  
Time Operation ◽  
Real Time Operation ◽  
Dynamic Cooling ◽  
Time Delay Effect

scholarly journals Fitting of Generic Process Models by an Asymmetric Short Relay Feedback Experiment—The n-Shifting Method

2021 ◽  
Vol 11 (4) ◽  
pp. 1651
Author(s):  
José Sánchez Moreno ◽  
Sebastián Dormido Bencomo ◽  
José Manuel Díaz Martínez
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Dynamic Systems ◽  
Transfer Functions ◽  
Process Models ◽  
Transfer Function Model ◽  
Minimum Phase ◽  
Relay Feedback ◽  
Function Model ◽  
Generic Process

This paper presents the generalization of the shifting method for relay feedback identification of dynamic systems of any order. The original shifting method enables the fitting of a maximum of five parameters of a transfer function model from the information obtained from a short relay test and without prior knowledge of the process to identify. The generalization, known as n-shifting, allows the estimation of the parameters of transfer functions of any order by applying one short relay test to the process to identify. Without loss of generality, the n-shifting approach is applied to fit an n-order plus time delay (n-OPTD) model but the approach can be also developed to identify models with other structures (non-minimum phase, unstable, integrators). Some examples of estimations are presented.

scholarly journals Analytical Tuning Rules of I-P Controller For Over Damped Processes with Large Zero Terms In Its Transfer Function Model

2019 ◽  
Vol 9 (1) ◽  
pp. 4640-4644
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Pi Controller ◽  
High Peak ◽  
Industrial Processes ◽  
Transfer Function Model ◽  
Function Model ◽  
Controller Tuning ◽  
Matlab Simulink ◽  
Simulation Results

In this paper, the structure of the P-I controller has been revised to I-P controller structure, for the model of Firstorder plus time delay and model of Half-order plus time delay. PI controller is the dominant controller used for most of the Industrial processes. However, high peak overshoot and sensitivity to controller gains are some of the disadvantages faced by P-I controller . The objective of this study is to overcome these disadvantages, I-P controller has been implemented. Simulation results obtained using MATLAB/simulink shows that the I-P controller tuning approach provides enhanced performance and reduction in the peak overshoot when compared with P-I controller tuning

Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Nur Laela Fitriani ◽  
Pika Silvianti ◽  
Rahma Anisa
Keyword(s):  
Exchange Rate ◽  
Transfer Function ◽  
Multivariate Time Series ◽  
Model Identification ◽  
Transfer Function Model ◽  
Function Model ◽  
Jones Index ◽  
Multiple Input ◽  
Identification Stage ◽  
Stage Estimation

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.

scholarly journals Administrative Costs and Tariff Rates in the Presence of Customs Evasion: Evidence from Ecuador

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 21
Author(s):  
Jazmín González Aguirre ◽  
Alberto Del Villar
Keyword(s):  
International Trade ◽  
Transfer Function ◽  
Gross Domestic Product ◽  
Foreign Trade ◽  
Transfer Function Model ◽  
Administrative Cost ◽  
Function Model ◽  
Administrative Costs ◽  
Tariff Rates ◽  
Budgetary Expenditure

This paper seeks to assess the effectiveness of customs policies in increasing the resources devoted to controlling and inspection. Specifically, it seeks to analyze whether an increase in the administrative cost of collecting taxes on foreign trade in Ecuador contributes to reducing customs fraud. To this end, we identify and estimate a transfer function model (ARIMAX), considering information on foreign trade such as official international trade statistics report and tariff rates, as well as the execution of budgetary expenditure and Ecuador’s gross domestic product (GDP). The period under study includes quarterly series from 2006 to 2018. The results obtained by the model indicate that allocating greater material and budgetary resources to combat customs fraud does not always achieve the objective of reducing customs evasion.

scholarly journals Time delay effect in a three coupled oscillator system of the physarum plasmodium

2000 ◽  
Vol 40 (supplement) ◽  
pp. S100
Author(s):  
A. Takamatsu ◽  
T. Fujii ◽  
I. Endo
Keyword(s):  
Time Delay ◽  
Delay Effect ◽  
Coupled Oscillator ◽  
Oscillator System ◽  
Time Delay Effect

Structural Control Considering Time Delay Effect

1985 ◽  
Vol 9 (4) ◽  
pp. 224-227 ◽  
Author(s):  
Mohamed Abdel-Rohman
Keyword(s):  
Time Delay ◽  
Active Control ◽  
Theoretical Consideration ◽  
Structural Control ◽  
Control Mechanism ◽  
Structural Response ◽  
Delay Effect ◽  
Numerical Example ◽  
Control Forces ◽  
Time Delay Effect

The time delay between measuring the structural response, and applying the designed active control forces may affect the controlled response of the structure if not taken into consideration. In this paper it is shown how to design the control forces to compensate for the delay effect. It is also shown that the time delay effect can be used as a criterion to judge the effectiveness of the proposed control mechanism. As an illustration of the theoretical consideration, a numerical example in which a tall building is controlled by means of active tendons is presented.

Sign in / Sign up

Export Citation Format

Share Document