Abstract: In this work the design of a Luenberger observer is proposed to estimate the unmeasurable state space variables from Hovorka’s model. This model is linearized and evaluated in an operation point where Luenberger observer is designed using the Ackermann methodology. The observer is employed to estimate the unmeasurable variables of virtual patients which are generated by Bergman’s model. Once the unmeasurable state variables are obtained by the Luenberger observer using only the input-output information of the Bergman’s model, a control algorithm based on eigenvalues relocation trough Ackermann methodology for linear systems is applied. In this methodology, a constant feedback gain vector is obtained in order to compute the control signal (insulin) to be applied to virtual patient and keep on normoglycemia rank. The carbohydrates ingestion is considered as the main disturbances. In order to assess the proposed methodology, two tests are designed: the first one consists of changing the r

• Publication Date: 28-May-2017
• DOI: 10.15224/978-1-63248-123-8-19
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Abstract: The paper observes matter about identification of zone with a stable value of gradient in Faraday’s balance. This matter is solved by purpose obtained coordinate characteristics of magnetic field induction between pole pieces of such balance. The paper shows that such identification may be quite effective when given characteristic (usually it is non-linear and doesn’t yield to desired linear even local approximation) is curly, i.e. has an inflection. It is possible to make a linear approximation of rather shortly characteristic’s region, i.e. establish a stable values of induction pole gradient. It is also possible to get visualized extremum view of gradient induction characteristic: in the vicinity of its extremum gradient value are relatively stable

• Publication Date: 28-May-2017
• DOI: 10.15224/978-1-63248-123-8-35
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