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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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计及多重不确定性的规模化电动汽车接入配电网调度方法
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作者 李金鹏 冯华 +3 位作者 陈晓刚 章寒冰 占震滨 许银亮 《电力系统自动化》 EI CSCD 北大核心 2024年第7期138-146,共9页
规模日益增长的电动汽车和可再生能源带来的不确定性给配电网的安全运营带来了严峻挑战。为综合考虑多重不确定性、平衡运营成本与系统可靠性,首先,提出一种基于分布鲁棒联合机会约束的电动汽车-配电网充放电调度模型。该模型将节点电... 规模日益增长的电动汽车和可再生能源带来的不确定性给配电网的安全运营带来了严峻挑战。为综合考虑多重不确定性、平衡运营成本与系统可靠性,首先,提出一种基于分布鲁棒联合机会约束的电动汽车-配电网充放电调度模型。该模型将节点电压、支路功率、备用需求等通过联合机会约束建模,可以直观地管理系统整体的可靠性。然后,为求解该模型,基于最优Bonferroni近似方法将联合机会约束问题转化为混合整数二次规划模型,其中,风险等级也被视为决策变量。随后,在不同电力系统上验证了所提模型的有效性和可扩展性。结果表明,所提模型克服了经典的随机优化和鲁棒优化存在的问题,能够有效平衡成本和可靠性,计算效率高、可扩展性好,较Bonferroni近似方法降低约6.5%的成本。 展开更多
关键词 电动汽车 配电网 联合机会约束 分布鲁棒优化模型 最优Bonferroni近似方法 不确定性 风险管理
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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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