University of California

Dale E Seborg

Francis J Doyle, Iii

Eyal Dassau

Joon Bok Lee

Yu-Ting Tina Miao

Francis J Iii Doyle

Dassau Eyal

Francis J Doyle

Joon Book Lee

A model-based control scheme consisting of either a proportional-integral-derivative (IMC-PID) controller or a model predictive controller (MPC), with an insulin feedback (IFB) scheme personalized based on a priori subject characteristics and comprising a lower order control-relevant model to obtain PID or MPC controller for artificial pancreas (AP) applications.

Model-based personalization scheme of an artificial pancreas for type I diabetes applications

Automatic detection of excessive oscillations in feedback control loops of a completely general nature can be achieved by generating an autocorrelation function of the controlled variable or control error in the control loop. From the pattern of the autocorrelation, a decay ratio which is a function of the depth of the first minimum and height of the first maximum of the oscillation in the autocorrelation function can be generated as a measure of the oscillation in the control loop. When the decay ratio exceeds a predetermined threshold, an alarm or report can be provided indicating that an excessive oscillation has occurred and to what degree. The source of the oscillation, that is whether it is within the monitored control loop or from a source external to the control loop can then be determined and the necessary remedy applied including a step input signal to the final control element in the control loop.

Automatic detection of excessively oscillatory feedback control loops.

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Santa Barbara, CA, United States of America

Dale E Seborg