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For the safe and efficient use of lithium-ion batteries, the state of charge (SOC) is a particularly important state variable. In this paper, we propose a method for the online estimation of SOC and model parameters based on a fractional-order equivalent circuit model. Firstly, we constructed a fractional-order battery model that includes pseudo-capacitance and determined the values of the circuit elements offline using the least squares method from actual input–output data based on the driving profile of an automobile. Compared to the integer-order battery model, we confirmed that the proposed fractional-order battery model has higher accuracy. Secondly, we constructed a fractional-order Kreisselmeier-type adaptive observer as an observer that performs state estimation and parameter adjustment simultaneously. Applying the general adaptive law to the battery model results in a redundant design with many adjustable parameters, so we proposed an adaptive law that reduces the number of adjustable parameters without compromising the stability of the observer. The effectiveness of the proposed method was verified through numerical simulations. As a result, the high estimation accuracy and convergence of the proposed adaptive law were confirmed.

Nutritional support is essential for patients with severe motor and intellectual disabilities (SMID) to ensure the smooth provision of medical care. These patients often require long-term tube feeding with enteral formulas, potentially leading to deficiencies in vitamins and trace elements. Additionally, frequent antibiotic use for infections often disrupts gut microbiota, inhibiting vitamin K2 production by intestinal bacteria. We assessed the serum protein induced by vitamin K absence or antagonists-II (PIVKA-II) and undercarboxylated osteocalcin (ucOC) levels to assess the vitamin K status in 20 patients with SMID (median age: 44.1 years, 11 men and 9 women) undergoing long-term tube feeding for durations ranging from 3 to 31 years. Thirteen (65%) and nine (45%) patients had elevated PIVKA-II (

Abstract Background Increasing the blood flow rate (BFR) is a useful method for increasing Kt/V and the clearance for low molecular solutes. Hemodialysis patients are often anemic due to hypoerythropoiesis and their chronic inflammatory state. Hepcidin, a hormone that regulates iron homeostasis, is considered as an indicator of iron deficiency in patients with end-stage renal disease. This study aimed to investigate the effects of an increased BFR during hemodialysis on serum hepcidin levels and anemia. Methods Between April 2014 and March 2016, 22 chronic dialysis patients (11 men [50.0 %]; mean [± standard deviation] age, 72 ± 12 years) undergoing maintenance hemodialysis treatment, thrice weekly, were enrolled and followed prospectively for 24 months. In April 2014, the BFR was 200 mL/min; in April 2015 this was increased to 400 mL/min, which was within acceptable limits. The dialysate flow rate remained stable at; 500mlL/min. Blood samples were collected in March 2015 and 2016. The primary endpoint was the comparison of the amounts of erythropoiesis-stimulating agent (ESA) required. Results The increased BFR increased the Kt/V and contributed to significantly decreased urea nitrogen (UN) (p = 0.015) and creatinine (Cr) (p = 0.005) levels. The dialysis efficiency was improved by increasing the BFR. Ferritin (p = 0.038), hepcidin (p = 0.041) and high-sensitivity interleukin-6 (p = 0.038) levels were also significantly reduced. The ESA administered was significantly reduced (p = 0.004) and the Erythropoietin Resistant Index (ERI) significantly improved (p = 0.031). The reduction rates in UN (p

This paper proposes a control method of the magnetorheological (MR) damper semi-active suspension controlling system with an L1 adaptive controller. The suspension system can be represented as a non-homogeneous system. Therefore, the proposed controller design method is introduced for avoiding the solving process of the convolution of a transfer matrix in the non-homogeneous system and guaranteeing the performance of the system within an acceptable level. The result, which is simulated by MATLAB/SIMULINK, proves that the proposed control architecture can work well for reducing calculation process. Moreover, this method is compared with the auto-tuned PID function in SIMULINK; as a result, the method shows a better overall performance by adjusting a few parameters.