http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Forouzanfar Mehdi (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
An LMI Approach to Robust Iterative Learning Control for Linear Discrete-time Systems
Mojtaba Ayatinia,Mehdi Forouzanfar,Amin Ramezani 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.7
This paper presents a new robust convergence condition of iterative learning control (ILC) for linear multivariable discrete-time systems in the presence of iteration-varying uncertainty. This method is based on linear matrix inequality (LMI) and provides a fixed learning gain over time and iteration. Since the convergence of the ILC algorithm may change due to uncertainty in the parameters of a system, and the ILC algorithm is incapable of dealing with iteration-related challenges, it is a major challenge to reject the effect of iteration varying uncertainty. In this paper, first, a convergence condition of the ILC algorithm is designed based on closed-loop system stability in the iteration domain, and second, a new robust convergence condition is achieved by the LMI approach. Finally, the effectiveness of the proposed robust convergence scheme is evaluated through two numerical examples.
-
Dasdar Shayan,Yousefifard Mahmoud,Ranjbar Mehri Farhang,Forouzanfar Mehdi,Mazloom Hamid,Safari Saeed 대한응급의학회 2023 Clinical and Experimental Emergency Medicine Vol.10 No.4
Objective Multiple trauma is associated with a remarkable risk of in-hospital complications, which harm healthcare services and patients. This study aimed to assess the incidence of posttrauma complications, their relationship with poor outcomes, and the effect of the Injury Severity Score (ISS) on their occurrence.Methods This retrospective cohort study was conducted at a pair of trauma centers, between January 2020 and December 2022. All hospitalized adult patients with multiple trauma were included in this study. Multivariable logistic regression was used to identify factors related to posttrauma complications.Results Among 727 multiple trauma patients, 90 (12.4%) developed in-hospital complications. The most frequent complications were pneumonia (4.8%), atelectasis (3.7%), and superficial surgical site infection (2.5%). According to multivariable logistic regression, ISS, the length of stay in the intensive care unit (ICU), the length of stay in the hospital, and mortality were significantly associated with complications. The complication rate increased by 17% with every single-unit increase in ISS (adjusted odds ratio [OR], 1.17; 95% confidence interval [CI], 1.00–1.38). Per every 1-day increase in the ICU or hospital stay, the complication rate increased by 65% (adjusted OR, 1.65; 95% CI, 1.00–2.73) and 20% (adjusted OR, 1.20; 95% CI, 1.03–1.41), respectively. Posttrauma complications were also significantly more common in patients with mortality (adjusted OR, 163.30; 95% CI, 3.04–8,779.32). In multiple trauma patients with a higher ISS, the frequency, severity, and number of complications were significantly increased.Conclusion In-hospital complications in multiple trauma patients are frequent and associated with poor outcomes and mortality. ISS is an important factor associated with posttrauma complications.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
