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哈尔滨工业大学交通科学与工程学院科研成果路网养护与决策技术。
基于贝叶斯决策理论的NSHV分段建模威胁评估
贝叶斯决策理论 临近空间目标 威胁评估
2019/4/16
临空高超声速飞行器（Near Space Hypersonic Vehicle，NSHV）具备复杂的运动模式和高动态特点，传统的威胁评估方法运用于NSHV时在评估要素选取和评估动态性等方面存在不足。从NSHV的飞行路径入手，将其划分为3个主要的飞行阶段，通过分析其各阶段运动特点和预警探测、拦截能力等因素，基于贝叶斯推理、决策理论建立起NSHV多阶段威胁评估模型，并通过先验概率将各阶段进行关联，保证...
针对目前市场上自适应巡航(adaptive cruise control, ACC)用户使用率低与驾乘人员接受度差的问题, 发展 了一种多目标自适应巡航控制算法, 基于模型预测控制(model predictive control, MPC)理论, 综合协调动态追踪 性、燃油经济性、驾乘舒适性以及跟车安全性四项存在着一定冲突的控制目标, 采用二次型性能指标以及线性不等 式约束的形式, 将纵向期望加...
基于灰色关联分析的双边公平匹配决策模型及应用
不确定信息 双边匹配 公平性 灰色关联分析
2017/1/17
稳定性、公平性和满意性是衡量匹配方案优劣的重要依据，其直接影响和决定着匹配决策的质量和效率。针对含有灰色、模糊等不确定信息的双边匹配决策问题，运用灰色关联分析方法，从匹配主体的满意度、匹配方案的稳定性和公平性整体视角，构建基于满意度最大、满意度偏差最小的双边匹配决策多目标优化模型，并采用模拟植物生长算法，求解最优匹配方案，利用模型解决江苏省技术知识供需匹配问题。
现实中的环境决策, 往往要在多个由“金钱−环境”复合而成的结果间做选择。人们如何对异质复合结果进行评估与选择, 是决策研究面临的新课题。本研究着重考察个体金钱取向和环境取向的相对强度对复合收益风险决策的影响。结果表明, 无论是采用自陈量表(实验1)或内隐联想测验(实验2)来测量价值取向, 还是采用混词造句任务(实验3)来启动价值取向, 均发现价值取向相对强度对复合风险决策有显著影响。 ...
基于多主体建模分析的银行间网络系统性风险研究
系统性风险 核心-边缘网络 共同冲击
2016/2/29
本文基于多主体建模分析了银行间核心-边缘网络的系统性风险。模型假设银行通过最优投资组合配置,在流动性和资本约束前提下谋求利润最大化。通过建立银行间市场交易环境的仿真模型,依据银行行为决策动态形成资产负债表与银行间网络敞口的数据,评估金融监管政策在银行间市场的实施效应。同时,引入不同网络结构模型加以对比分析,发现尽管核心-边缘银行间网络体系比无标度网络更易遭受共同冲击和传染风险,但当处于金融困境时,...
针对婚配问题中序数满意值信息无法衡量偏好强度关系，以及经典双边匹配Gale-Shapley算法只能求解男/女单方最优稳定解这两个问题，首先通过分析在线相亲网站上的会员信息，分别建立了男/女基数满意值的多属性评价模型，然后提出了基于满意值基数信息的双边匹配线性规划模型及其相应算法，最后通过一个算例比较了新算法与已有算法的差异。结果显示，所提出的新算法明显优于其他算法。
WEB-BASED COLLABORATIVE DECISION SUPPORT SERVICES: CONCEPT, CHALLENGES AND APPLICATION
Spatial Decision Support System Web-based Decision Support System Distributed GIS Services Web-based Decision Support Services Web-based Weights of Evidence Model
2015/8/31
The complexity of spatial decision-making makes it difficult for individual organization to deal effectively with decision making.
Difficulty in linking data, analysis tools and models across organi...
Decision noise may mask criterion shifts:Reply to Balakrishnan and MacDonald (2008)
Decision criterion shifts Balakrishnan MacDonald
2015/7/28
J. D. Balakrishnan and J. A. MacDonald (2008) argue that RTbased measures of signal detection processes provide evidence against signal detection theory’s notion of a flexible decision criterion.
Accounting for Expectational and Structural Error in Binary Choice Problems: A Moment Inequality Approach
discrete choice models moment inequalities entry models
2015/7/17
Many economic decisions involve a binary choice - for example, when consumers decide to purchase a good or when rms decide to enter a new market.
In such settings, agents' choices often depend on im...
Branch and Bound Algorithm for Computing the Minimum Stability Degree of Parameter-Dependent Linear Systems
Branch Bound Algorithm Computing Minimum Stability Degree Parameter-Dependent Linear Systems
2015/7/13
We consider linear systems with unspecified parameters that lie between given upper and lower bounds. Except for a few special cases, the computation of many quantities of interest for such systems ca...
Control system analysis and synthesis via linear matrix inequalities
Control system analysis synthesis linear matrix inequalities
2015/7/13
A wide variety of problems in systems and control theory can be cast or recast as convex problems that involve linear matrix inequalities (LMIs). For a few very special cases there are “analytical sol...
A Class of Lyapunov Functionals for Analyzing Hybrid Dynamical Systems
Lyapunov Functionals Analyzing Hybrid Dynamical Systems
2015/7/10
In this paper, we introduce a new class of Lyapunov functionals for analyzing hybrid dynamical systems. This class can be thought of as a generalization of the Lyapunov functional introduced by Yakubo...
Managing Power Consumption in Networks on Chips
Energy management low power regenerative stochastic processes system analysis and design
2015/7/10
In this work we present a new methodology for managing power consumption of NOCs, which we formulate using closed-loop control concepts, by introducing an estimator and a controller that implement the...
Analysis and Optimization of Randomized Gossip Algorithms
Analysis Optimization Randomized Gossip Algorithms
2015/7/10
We study the distributed averaging problem on an arbitrary network with a gossip constraint, which means that no node communicates with more than one neighbour in every time slot. We consider algorith...