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Longjin Wang,Shun An,Yan He,Jianping Yuan 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1
This paper focuses on the maximum likelihood estimation for bilinear systems in the presence of colored noise. The state variables in the model is eliminated and an input-output expression is provided. The input-output data of the system is filtered by an estimated noise transfer function, and the system is transformed into two subsystems. A filtering based maximum likelihood recursive least squares algorithm is proposed to strengthen the identification accuracy and improve computational efficiency. The superior performance of the developed methods are demonstrated by numerical simulations.
The Auxiliary Model Based Hierarchical Estimation Algorithms for Wave Peak Frequency Identification
Shun An,Longjin Wang,Yan He,Jianping Yuan 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.3
This paper studies the wave peak frequency identification using the stochastic gradient algorithm. The identification model is derived by using the wave disturbance model, and an extended stochastic gradient algorithm is presented for identifying the model parameters. Based on the hierarchical identification principle, the identification model is decomposed into two subsystems by introducing two intermediate variables, and a two-stage auxiliary model based extended stochastic gradient (2S-AM-ESG) algorithm is presented to improve the convergence speed. The effectiveness of the identification algorithms is verified by the simulation tests of a ship heading control system. Simulation results demonstrate the effectiveness of the proposed method.
Long Jin,Nan Shen,Xinyu Wen,Weidong Wang,Sun Woo Lim,양철우 대한내과학회 2023 The Korean Journal of Internal Medicine Vol.38 No.3
Background/Aims: Although the conversion from tacrolimus (TAC) to cytotoxic T-lymphocyte-associated antigen 4-immunoglobulin (CTLA4-Ig) is effective in reducing TAC-induced nephrotoxicity, it remains unclear whether CTLA4-Ig has a direct effect on TAC-induced renal injury. In this study, we evaluated the effects of CTLA4-Ig on TAC-induced renal injury in terms of oxidative stress. Methods: In vitro study was performed to assess the effect of CTLA4-Ig on TAC-induced cell death, reactive oxygen species (ROS), apoptosis, and the protein kinase B (AKT)/forkhead transcription factor (FOXO) 3 pathway in human kidney 2 cells. In the in vivo study, the effect of CTLA4-Ig on TAC-induced renal injury was evaluated using renal function, histopathology, markers of oxidative stress (8-hydroxy-2’-deoxyguanosine) and metabolites (4-hydroxy-2-hexenal, catalase, glutathione S-transferase, and glutathione reductase), and activation of the AKT/FOXO3 pathway with insulin-like growth factor 1 (IGF-1). Results: CTLA4-Ig significantly decreased cell death, ROS, and apoptosis caused by TAC. TAC treatment increased apoptotic cell death and apoptosis-related proteins (increased Bcl-2-associated X protein and caspase-3 and decreased Bcl-2), but it was reversed by CTLA4-Ig treatment. The activation of p-AKT and p-FOXO3 by TAC decreased with CTLA4-Ig treatment. TAC-induced renal dysfunction and oxidative marker levels were significantly improved by CTLA4-Ig in vivo. Concomitant IGF- 1 treatment abolished the effects of CTLA4-Ig. Conclusions: CTLA4-Ig has a direct protective effect on TAC-induced renal injury via the inhibition of AKT/FOXO3 pathway.