Mixed graphical models for simultaneous model identification and control applied to glucose–insulin metabolism

One of the primary challenges in diagnostic health monitoring and control of wind turbines is compensating for the variable nature of wind loads. Given the sometimes large variations in wind speed, direction, and other operational variables (like wind shear), this paper proposes a data-driven, online rotor model identification approach. A 2 m diameter horizontal axis wind turbine rotor is first tested using experimental modal analysis techniques. Through the use of the Complex Mode Indication Function, the dominant natural frequencies and mode shapes of dynamic response of the rotor are estimated (including repeated and pseudo-repeated roots). The free dynamic response properties of the stationary rotor are compared to the forced response of the operational rotor while it is being subjected to wind and rotordynamic loads. It is demonstrated that both narrowband (rotordynamic) and broadband (wind driven) responses are amplified near resonant frequencies of the rotor. Blade loads in the flap direction of the rotor are also estimated through matrix inversion for a simulated set of rotor blade input forces and for the operational loading state of the wind turbine in a steady state condition. The analytical estimates are shown to be accurate at frequencies for which the ordinary coherence functions are near unity. The loads in operation are shown to be largest at points mid-way along the span of the blade and on one of the three blades suggesting this method could be used for usage monitoring. Based on these results, it is proposed that a measurement of upstream wind velocity will provide enhanced models for diagnostics and control by providing a leading indicator of disturbances in the loads.

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Insulin metabolism by liver, muscle, and kidneys from spontaneously diabetic rats

AJP Endocrinology and Metabolism ◽

10.1152/ajpendo.1986.250.5.e530 ◽

1986 ◽

Vol 250 (5) ◽

pp. E530-E537

Author(s):

R. Rabkin ◽

G. M. Reaven ◽

C. E. Mondon

Keyword(s):

Diabetic Rats ◽

Insulin Clearance ◽

Immunoreactive Insulin ◽

Insulin Metabolism ◽

Complex Process ◽

Consistent Manner ◽

Liver And Kidney ◽

Spontaneously Diabetic Rats ◽

And Control

The in vivo metabolism of insulin is a complex process in which liver, kidney, and muscle are major participants. In this study we evaluated the effect of spontaneous hyperglycemic nonketoacidotic diabetes (DH) and ketoacidotic diabetes (DKA) on insulin clearance and degradation by these organs. Livers, hindlimbs, and kidneys from nondiabetic controls and DH and DKA Bio-Breed rats were isolated and perfused with artificial media. Liver clearance of immunoreactive insulin (ml/min) was significantly higher in DH rats, 6.0 +/- 0.2, but significantly lower in DKA rats, 3.4 +/- 0.5, compared with controls, 4.6 +/- 0.2. Acidosis alone induced by ammonium chloride loading, did not impair liver insulin clearance (4.8 +/- 0.4 ml/min). Muscle responded differently to the diabetic state in that insulin clearance was not altered by DH and DKA. Renal (organ) clearance of insulin was significantly depressed in the DKA state when compared with controls (0.52 +/- 0.04 and 0.75 +/- 0.07 ml X min-1 X g-1, respectively). This could largely be explained by a lower glomerular filtration rate. Fractional urinary insulin clearance was increased twofold above control values in DH kidneys and fourfold in DKA kidneys, indicating that tubular luminal absorption of insulin was impaired in both states. By contrast contraluminal uptake (peritubular clearance) did not differ significantly from controls. 125I-insulin degrading activity of the 100,000 g supernate fraction from muscle homogenates was similar in the diabetic and control groups. However in liver and kidney, degrading activity did not correspond to whole organ insulin clearance in a consistent manner.(ABSTRACT TRUNCATED AT 250 WORDS)

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