Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xianle Chen"'
Publikováno v:
Journal of Systems Science and Information. 8:33-52
This paper seeks to position the third-party transaction (TPT) in the macrostructure of Chinese market in terms of Concentration Ratio and Herfindahl-Hirschman Index. By extending both Cournot oligopolistic and Stackelberg oligopolistic competition m
Publikováno v:
Journal of Drug Delivery Science and Technology. 50:208-216
Nanofibers comprising dispersed natural bioactive ingredients have received considerable attention due to enhanced pharmaceutical effects. Ganoderma lucidum polysaccharide (GLP) is a versatile bioactive compound that is prone to oxidative damage. In
Autor:
Xianle Chen, Jing Zhang, Hongjun Xie, Yaling Xu, Pei Wang, Weiteng Liang, Jun Xian, Xiuling Liu
Publikováno v:
Acta odontologica Scandinavica. 78(4)
Objective: Power toothbrushes is considered an effective tool for maintaining oral health; however, its efficacy as compared to manual toothbrushes is still not completely clarified. This article a...
Publikováno v:
IEEE Transactions on Power Electronics. 32:4663-4674
This paper presents robust predictive current control (RPCC) with online disturbance estimation to achieve high- performance current loop for induction machine (IM) drives. The disturbance caused by parameter variations and other unmodeled dynamics i
Publikováno v:
2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific).
This paper presents a direct predictive control scheme without current sensor for induction motor drives. The control scheme includes a double-loop system with a speed loop controller adopting proportional-integral algorithm and a current loop contro
Publikováno v:
8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016).
To improve the dynamic response and robustness of the current loop in induction motor (IM) drives, a robust predictive current control (RPCC) in synchronous rotating frame is presented in this work. Based on the modeling of IM in discrete domain, the