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Distribution of primary school based on spatial network comprehensive model in low-income mountainous cities: a case study in Wanyuan, China 被引量:3
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作者 YANG Pei-feng HE Ran HOU Hai-bo 《Journal of Mountain Science》 SCIE CSCD 2017年第10期2082-2096,共15页
Focusing on the peculiarities of urban construction resulting from specific mountain terrains, the purpose of this study is to find out a suitable method based on a Spatial Network Comprehensive Model(SNCM) to reasona... Focusing on the peculiarities of urban construction resulting from specific mountain terrains, the purpose of this study is to find out a suitable method based on a Spatial Network Comprehensive Model(SNCM) to reasonably plan and distribute primary schools in low-income mountain cities. The construction principles and advantages of the SNCM method are proposed and the method tested in Wanyuan city of Qinba Mountain area(Southwest China) to verify its feasibility and optimization. Taking account of the mountain terrain and its influence on user behavior, we used the SNCM method to build a comprehensive model which integrates the road slope and the walking speed of pupils into the basic spatial model. The model is used to calculate a reasonable layout of the primary schools and to validate the rationale. The results show that the SNCM method can be effectively applied in low-income mountainous cities. It can not only improve the accessibility and service efficiency of primary schools using as little capital-investment as possible, but also help the city grow in an intensive and efficient way. 展开更多
关键词 Spatial network comprehensive model Primary school distribution Mountainous terrain Low-income mountainous cities China
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Characteristic model-based consensus of networked heterogeneous robotic manipulators with dynamic uncertainties 被引量:7
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作者 WANG LiJiao MENG Bin 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第1期63-71,共9页
In this paper, we address the characteristic model-based discrete-time consensus problem of networked robotic manipulators with dynamic uncertainties. The research objective is to achieve joint-position consensus of m... In this paper, we address the characteristic model-based discrete-time consensus problem of networked robotic manipulators with dynamic uncertainties. The research objective is to achieve joint-position consensus of multiple robotic agents interconnected on directed graphs containing a spanning tree. A novel characteristic model-based distributed adaptive control scenario is proposed with a state-relied projection estimation law and a characteristic model-based distributed controller. The performance analysis is also unfolded where the uniform ultimate boundedness(UUB) of consensus errors is derived by resorting to the discrete-time-domain stability analysis tool and the graph theory. Finally, numerical simulations illustrate the effectiveness of the proposed theoretical strategy. 展开更多
关键词 networked robotic manipulators consensus discrete time characteristic model distributed adaptive controller uniform ultimate boundedness(UUB)
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