Auto-Tuned Motion Scaling in Teleoperation Based on Human Reaction Model Identification

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.

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NARMAX Model Identification Using Multi-Objective Optimization Differential Evolution

International Journal of Integrated Engineering ◽

10.30880/ijie.2018.10.07.018 ◽

2018 ◽

Vol 10 (7) ◽

Author(s):

Mohd Zakimi Zakaria ◽

◽

Zakwan Mansor ◽

Azuwir Mohd Nor ◽

Mohd Sazli Saad ◽

...

Keyword(s):

Differential Evolution ◽

Model Identification ◽

Multi Objective Optimization ◽

Multi Objective

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Designing Experiments for Model Identification of the Nitrification Process

Water Science & Technology ◽

10.2166/wst.1991.0135 ◽

1991 ◽

Vol 24 (6) ◽

pp. 9-16 ◽

Cited By ~ 6

Author(s):

P. J. Ossenbruggen ◽

H. Spanjers ◽

H. Aspegren ◽

A. Klapwijk

Keyword(s):

Mechanistic Model ◽

Nonlinear Differential Equations ◽

Model Identification ◽

Reaction Rates ◽

Variable Coefficients ◽

Model Specification ◽

First Order ◽

Interactive Behavior ◽

Batch Tests ◽

Nitrification Process

A series of batch tests were performed to study the competition for oxygen by Nitrosomonas and Nitrobacter in the nitrification of ammonia in activated sludge. Oxygen uptake rate (OUR) and dynamic (compartment) models describing the process are proposed and tested. The OUR model is described by a Monod relationship and the biogradation process by a set of first order nonlinear differential equations with variable coefficients. The results show a mechanistic model and ten reaction rates are sufficient to capture the interactive behavior of the nitrification process. Methods for model specification, calibrating, and testing the model and the design of additional experiments are described.

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Intensification of cooling in a batch reactor with an exothermic reaction by nonisothermal control in stable pseudostationary states

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19842566 ◽

1984 ◽

Vol 49 (11) ◽

pp. 2566-2578 ◽

Cited By ~ 1

Author(s):

Josef Horák ◽

Petr Beránek ◽

Dagmar Maršálková

Keyword(s):

Batch Reactor ◽

Exothermic Reaction ◽

Reaction Model ◽

Order Reaction ◽

Zero Order ◽

Coolant Temperature ◽

Inlet Temperature ◽

Adaptive Parameter ◽

Zero Order Reaction ◽

Set Up

An algorithm is set up and tested for the temperature control of a batch reactor consisting in jump changes in the inlet temperature of entering coolant. This temperature is so chosen that its difference from the temperature of the reaction mixture is near the highest difference at which the stable pseudostationary state of the system still exists. For the prediction of the new coolant inlet temperature, a zero-order reaction model is used with an adaptive parameter estimated from the experimentally established value of the maximum of the reaction mixture overheating at the previous coolant temperature.

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