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Adaptive Robust Control of Multi-Machine Power Systems with Control Time Delay
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作者 Zhongqiang Wu Feng Li +1 位作者 Chunqi Du Wei Zhang 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2018年第4期48-55,共8页
The adaptive H_∞ control problem of multi-machine power system in the case of disturbances and uncertain parameters is discussed,based on a Hamiltonian model.Considered the effect of time delay during control and tra... The adaptive H_∞ control problem of multi-machine power system in the case of disturbances and uncertain parameters is discussed,based on a Hamiltonian model.Considered the effect of time delay during control and transmission,a Hamilton model with control time delay is established.Lyapunov-Krasovskii function is selected,and a controller which makes the system asymptotically stable is got.The controller not only achieves the stability control for nonlinear systems with time delay,but also has the ability to suppress the external disturbances and adaptive ability to system parameter perturbation.The simulation results show the effect of the controller. 展开更多
关键词 multi machine power systems time delay H∞ control uncertain parameters DISTURBANCE
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A hardware-based algorithm for virtual machine provisioning in a private cloud 被引量:1
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作者 Amol JAIKAR Gyeong-Ryoon KIM +1 位作者 Dada HUANG Seo-Young NOH 《Journal of Central South University》 SCIE EI CAS 2014年第11期4291-4295,共5页
Cloud computing is becoming a key factor in the market day by day. Therefore, many companies are investing or going to invest in this sector for development of large data centers. These data centers not only consume m... Cloud computing is becoming a key factor in the market day by day. Therefore, many companies are investing or going to invest in this sector for development of large data centers. These data centers not only consume more energy but also produce greenhouse gases. Because of large amount of power consumption, data center providers go for different types of power generator to increase the profit margin which indirectly affects the environment. Several studies are carried out to reduce the power consumption of a data center. One of the techniques to reduce power consumption is virtualization. After several studies, it is stated that hardware plays a very important role. As the load increases, the power consumption of the CPU is also increased. Therefore, by extending the study of virtualization to reduce the power consumption, a hardware-based algorithm for virtual machine provisioning in a private cloud can significantly improve the performance by considering hardware as one of the important factors. 展开更多
关键词 virtualization virtual machine algorithm power consumption data center
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Eccentric training with a powered rowing machine
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作者 Humberto De las Casas Kevin Kleis +2 位作者 Hanz Richter Kenneth Sparks Antonie van den Bogert 《Medicine in Novel Technology and Devices》 2019年第2期10-16,共7页
The aim of this study was to investigate the effects of eccentric workloads generated by a powered rowing machine on the cardiorespiratory,cardiovascular and musculoskeletal systems.It was hypothesized that beneficial... The aim of this study was to investigate the effects of eccentric workloads generated by a powered rowing machine on the cardiorespiratory,cardiovascular and musculoskeletal systems.It was hypothesized that beneficial physiological effects would result by training with high eccentric workloads.Conventional rowing machines are utilized for performance improvements through concentric workloads alone;however for this research,a conventional machine was modified with an electric motor and an advanced control system to allow the machine to also include eccentric capabilities.The ability to combine concentric and eccentric actions in any exercise has the potential to improve training effectiveness.The study followed an experimental design,exposing ten subjects(5 male,5 female)to multiple eccentric workloads generated by the powered rowing machine.Each subject participated in two 12-min exercise trials corresponding to full body row(FBR)and low body row(LBR).Each of these trials included four 3-min stages that gradually increased the eccentric workload.Increased eccentric muscle contractions and metabolic cost were confirmed in the experiments.The results on oxygen consumption reveal a significant increase between stages 1 and 2 for both exercises(FBR p=0.0001 and LBR p=0.004)with no significant increases between the remaining stages.Results on heart rate reveal a significantly increase with each stage for both exercises(p=<0.05).Results on muscle activation also reveal an overall increase for all muscle groups as eccentric workload is increased. 展开更多
关键词 REHABILITATION powered machine MICROGRAVITY Concentric contraction Eccentric contraction Control system Human-machine system Physiological effect
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A CW superconducting linac as the proton driver for a medium baseline neutrino beam in China
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作者 李智慧 唐靖宇 《Chinese Physics C》 SCIE CAS CSCD 2014年第12期55-58,共4页
In a long-term planning for neutrino experiments in China, a medium baseline neutrino beam is proposed which uses a continue wave(CW) superconducting linac of 15 MW in beam power as the proton driver. The linac will... In a long-term planning for neutrino experiments in China, a medium baseline neutrino beam is proposed which uses a continue wave(CW) superconducting linac of 15 MW in beam power as the proton driver. The linac will be based on the technologies which are under development by the China-ADS project, namely it is also composed of a3.2 Me V normal conducting RFQ and five different types of superconducting cavities. However, the design philosophy is quite different from the China-ADS linac because of the much weaker requirement on reliability here. The nominal design energy and current are 1.5 Ge V and 10 m A, respectively. The general considerations and preliminary results on the physics design will be presented here. In addition, the alternative designs such as 2.0 Ge V and 2.5 Ge V, which may be required by the general design, can be easily extended from the nominal one. 展开更多
关键词 MOMENT C-ADS superconducting proton linac high power proton machine
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