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Construction method of Lyapunov functions based on eigen analysis
Yuki Nishimura,Yuh Yamashita,Kanya Tanaka,Yuji Wakasa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we show discretized Lyapunov functions for various nonlinear dynamical systems by using the method that the authors have proposed. We use Kushner’s scheme of difference approximation with directions and Alcaraz et al.’s quantization of Markov processes to approximate Lyapunov equations by linear Schr¨odinger-like equations. We construct time-invariant functions concerned with the solutions to Schro¨dinger-like equations. Then, we show the effectiveness of the method via an example.
Yuki Ichinose,Takafumi Nishimura,Minori Harada,Ryota Kashiwagi,Mikihiro Yamamoto,Yoshiteru Noutoshi,Kazuhiro Toyoda,Fumiko Taguchi,Daigo Takemoto,Hidenori Matsui 한국식물병리학회 2020 Plant Pathology Journal Vol.36 No.2
Pseudomonas syringae pv. tabaci 6605 has two mul- tidrug resistance (MDR) efflux pump transporters, MexAB-OprM and MexEF-OprN. To understand the role of these MDR efflux pumps in virulence, we generated deletion mutants, ∆mexB, ∆mexF, and ∆mexB∆mexF, and investigated their sensitivity to plant-derived antimicrobial compounds, antibiotics, and virulence. Growth inhibition assays with KB soft agar plate showed that growth of the wild-type (WT) was inhibited by 5 μl of 1 M catechol and 1 M coumarin but not by other plant-derived potential antimicrobial compounds tested including phytoalexins. The sensitiv- ity to these compounds tended to increase in ∆mexB and ∆mexB∆mexF mutants. The ∆mexB∆mexF mutant was also sensitive to 2 M acetovanillone. The mexAB- oprM was constitutively expressed, and activated in the ∆mexF and ∆mexB∆mexF mutant strains. The swarming and swimming motilities were impaired in ∆mexF and ∆mexB∆mexF mutants. The flood inocula- tion test indicated that bacterial populations in all mu- tant strains were significantly lower than that of WT, although all mutants and WT caused similar disease symptoms. These results indicate that MexAB-OprM extrudes plant-derived catechol, acetovanillone, or cou- marin, and contributes to bacterial virulence. Further- more, MexAB-OprM and MexEF-OprN complemented each other’s functions to some extent.
Watanabe Shinichi,Iida Yuki,Hirasawa Jun,Naito Yuji,Mizutani Motoki,Uemura Akihiro,Nishimura Shogo,Suzuki Keisuke,Morita Yasunari 대한재활의학회 2023 Annals of Rehabilitation Medicine Vol.47 No.3
Objective: To investigate the effect on early mobilization in patients undergoing extra-corporeal membrane oxygenation (ECMO) and acute blood purification therapy in the intensive care unit (ICU).Methods: We conducted this multicenter retrospective cohort study by collecting data from six ICUs in Japan. Consecutive patients who were admitted to the ICU, aged ≥18 years, and received mechanical ventilation for >48 hours were eligible. The analyzed were divided into two groups: ECMO/blood purification or control group. Clinical outcomes; time to first mobilization, number of total ICU rehabilitations, mean and highest ICU mobility scale (IMS); and daily barrier changes were also investigated.Results: A total of 204 patients were included in the analysis, 43 in the ECMO/blood purification group and 161 in the control group. In comparison of clinical outcome, the ECMO/blood purification group had a significantly longer time to first mobilization: ECMO/blood purification group 6 vs. control group 4 (p=0.003), higher number of total ICU rehabilitations: 6 vs. 5 (p=0.042), lower mean: 0 vs. 1 (p=0.043) and highest IMS: 2 vs. 3 (p=0.039) during ICU stay. Circulatory factor were most frequently described as barriers to early mobilization on days 1 (51%), 2 (47%), and 3 (26%). On days 4 to 7, the most frequently described barrier was consciousness factors (21%, 16%, 19%, and 21%, respectively)Conclusion: The results of this study comparing the ECMO/blood purification group and the untreated group in the ICU showed that the ECMO/blood purification group had significantly longer days to mobilization and significantly lower mean and highest IMS.
The Development of a Power System of the Combination of Diesel Generator and UPS
Dawei Qiu,Satoshi Uda,Hironori Kashihara,Yuki Fukuda,Naoya Okazaki,Shoji Nishimura,Yoshinori Kawasaki 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
This paper shows the development of a power supply system to solve the anomalous voltage sag, power failure and peak cut demand. This power supply system includes an UPS (Uninterruptible Power Supply), a standby generator and a Hybrid Switch, which is the integration of mechanical switches and IGBTs with good performance of low conducting loss and fast opening time. The results of a real-time simulation demonstrate its voltage compensation can perform within 2 ms response time when power failure occurs and transfer without voltage down between micro grid operation and gird-connected operation. Also, they are successfully validated by using a prototype system.
Intelligent IMC-PID Control for Ultrasonic Motor
Shenglin Mu,Kanya Tanaka,Yuji Wakasa,Takuya Akashi,Yuki Nishimura,Masato Oka 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Ultrasonic motor(USM) is an electronic motor which causes serious characteristic changes during operation and contains non-linearity caused by friction. For USM control application, proportional integral differential(PID) con-trol is a widespread control method. But inpractical process, setting three gains before hand is not an easy work. On the other hand, the internal model control type PID(IMC-PID) which requires only one parameter setting beforehand, mainly used in process control, is more effective relatively. However, in USM control, there are limitations of control perfor-mance on conventional fixed-gain type IMC-PID control since USM’s characteristic changes and non-linearity caused by friction. So, in this paper we propose an improved method of variable gain type IMC-PID control combined with neural network(NN) named “intelligent IMC-PID for USM”. In this proposed method, system identification method is adopted to over come serious characteristic changes and neural network is used to compensate non-linearity. And the effectiveness of the proposed method has been confirmed by experiments.