Modeling And Estimation Of Reaction Constants In Hydrogen Peroxide Deterioration Reactions
Chiang, Hung Yi
Gadsden, Stephen Andrew
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In this paper, a new model in augmented state space allowing for faster prediction of hydrogen peroxide decay rates is proposed. This information is important for the development of new hydrogen peroxide solutions used to fight pathogens and harmful germs. The well-known Kalman filter and the unscented Kalman filter are applied on developed mathematical models and experimental measurements. The results are compared and discussed.