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Multi-objective optimization of rolling schedule based on cost function for tandem cold mill 被引量:4
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作者 陈树宗 张欣 +3 位作者 彭良贵 张殿华 孙杰 刘印忠 《Journal of Central South University》 SCIE EI CAS 2014年第5期1733-1740,共8页
In terms of tandem cold mill productivity and product quality, a multi-objective optimization model of rolling schedule based on cost fimction was proposed to determine the stand reductions, inter-stand tensions and r... In terms of tandem cold mill productivity and product quality, a multi-objective optimization model of rolling schedule based on cost fimction was proposed to determine the stand reductions, inter-stand tensions and rolling speeds for a specified product. The proposed schedule optimization model consists of several single cost fi.mctions, which take rolling force, motor power, inter-stand tension and stand reduction into consideration. The cost function, which can evaluate how far the rolling parameters are from the ideal values, was minimized using the Nelder-Mead simplex method. The proposed rolling schedule optimization method has been applied successfully to the 5-stand tandem cold mill in Tangsteel, and the results from a case study show that the proposed method is superior to those based on empirical formulae. 展开更多
关键词 tandem cold mill multi-object optimization rolling schedule cost function simplex algorithm
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Analysis of Cost Functions for Retrieving Sea Surface Salinity 被引量:4
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作者 QI Zhen WEI Enbo 《Journal of Ocean University of China》 SCIE CAS 2012年第2期147-152,共6页
Two kinds of Bayesian-based cost functions (i.e., the unconstrained cost function and parameter-constrained cost function) are investigated for retrieving the sea surface salinity (SSS). In low SSS regions, we have an... Two kinds of Bayesian-based cost functions (i.e., the unconstrained cost function and parameter-constrained cost function) are investigated for retrieving the sea surface salinity (SSS). In low SSS regions, we have analyzed the sensitivity of the two cost functions to geophysical parameters. The results show that the unconstrained cost function is valid for retrieving several parameters (including SSS, wind speed and significant wave height), and the constrained cost function, which largely depends on the accuracy of reference values, may lead to large retrieval biases. Furthermore, as a retrieval parameter, the sea surface temperature (SST) can re-sult in the divergence of other geophysical parameters in an unconstrained cost function due to the strong sensitivity of brightness temperature to SST. By using the unconstrained cost function and the simulated brightness temperature TB with white noises, the retrieval biases of SSS are discussed with the following two procedures. Procedure a): the simulated TB values are first averaged, and then SSS is retrieved. Procedure b): the SSS is directly retrieved from the simulated TB , and then the retrieved SSS values are aver-aged. The results indicate that, for low SSS and SST distributions, the SSS retrieval by procedure a) has less biases compared with that by procedure b), while the two procedures give almost the same retrieval results for high SSS and SST sea regions. 展开更多
关键词 cost function sea surface salinity and temperature brighmess temperature
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Competitive analysis of price online inventory problem with cost function 被引量:1
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作者 HAN Shu-guang GUO Jiu-ling +1 位作者 ZHANG Lu-ping HU Jue-liang 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第4期493-502,共10页
In this paper,a new price is given to the online decision maker at the beginning of each day.The trader must decide how many items to purchase according to the current price.We present three variants and an online alg... In this paper,a new price is given to the online decision maker at the beginning of each day.The trader must decide how many items to purchase according to the current price.We present three variants and an online algorithm based on cost function.The competitive ratio of the online algorithm is given for each variant,which is a performance measure of an online algorithm.More importantly,we show that the online algorithm is optimal. 展开更多
关键词 inventory problem price online cost function competitive analysis
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Handover improvement based on cost function and user fairness for cellular relay enhanced LTE networks
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作者 Chen Muqiong Ji Hong Li Xi 《High Technology Letters》 EI CAS 2011年第3期299-304,共6页
In order to optimize handover target selection and achieve better handover performance in cellular relay networks under the long term evolution (LTE) system, a novel handover measurement and decision scheme based on... In order to optimize handover target selection and achieve better handover performance in cellular relay networks under the long term evolution (LTE) system, a novel handover measurement and decision scheme based on cost function is proposed in the paper. The relay-enhanced network provides user equipment (UE) multiple handover choices from neighbor base stations or relays. This may result in different overhead, resource utility and traffic load which attaches importance to proper handover schemes. Compared with traditional handover measurement and decision schemes, the proposed scheme adopts reference signal receiving quality (RSRQ) in the measurement stage and uses a modified signal cost function considering signal overhead in different handover types and expected long-term throughput of UE. Besides, UE fairness and sector resource utilization are taken into account as well. Theory analysis and simulation results prove that the proposed scheme can enhance cell throughput, decrease handover delay and signal overhead, and improve UE fairness. 展开更多
关键词 HANDOVER RELAY cost function FAIRNESS
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Is a Single Product Cost Function Appropriate for Institutions of Higher Education? Empirical Evidence From China's Research Universities*
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《Economics World》 2016年第2期47-59,共13页
Many studies exist in the literature of scale and scope economies in institutions of higher education employing multi-product cost functions of quadratic, constant elasticity substitution (CES), or hybrid translog f... Many studies exist in the literature of scale and scope economies in institutions of higher education employing multi-product cost functions of quadratic, constant elasticity substitution (CES), or hybrid translog form. A single product cost function is normally considered inadequate and yield distorted results. Both quadratic and single product cost functions have been applied to university data from China's Ministry of Education (MOE). This study compares those two methods and their statistical results and finds that ray economies of scale from these two cost functions are quite similar though the single product cost function which can not be used to calculate product-specific economies of scale or economies of scope. 展开更多
关键词 single and multi-product cost function economies of scale economies of scope China's researchuniversities
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A Reliable and Secure Smart Grid Communication Network Using a Comprehensive Cost Function
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作者 Vahid Kouhdaragh 《Journal of Energy and Power Engineering》 2017年第2期115-126,共12页
SG (smart grids) is an intelligent power grid in which the diverse nodes should communicate different types of information which have different communication requirements with CS (control stations). There exist se... SG (smart grids) is an intelligent power grid in which the diverse nodes should communicate different types of information which have different communication requirements with CS (control stations). There exist several RATs (radio access technologies), with diversification in quality of service character which respect to the SG nodes communication requirements. On the other side, spectrum is becoming a rare source and its demands request is increasing exponentially. Therefore, resource allocation to support different types of SG nodes should be elaborated so that the resource efficiency is maximized while the SG communication requirements are respected. Using a CF (cost function) based on the SG node requirements and RATs characteristics to find the desirability value of every RATs for a certain node type accomplish this goal in combination with prioritizing the different SG nodes types based on SG goals by creating a priority table for RATs and different SG node types. The main node communication requirements are formulized to be used in the CF in this paper. The numerical results show that the proposed method defines the desirability value of each RAT for a certain SG node type that helps to make a priority table by using the SG node prioritization table. 展开更多
关键词 Smart grid node prioritization cost function communication requirements spectral efficiency heterogeneous network.
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Resource Allocation Using SPA Based on Different Cost Functions in Elastic Optical Networks
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作者 Mehdi Tarhani Sanjib Sarkar +1 位作者 Morad Khosravi Eghbal Mehdi Shadaram 《Journal of Computer and Communications》 2019年第10期14-20,共7页
Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section... Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section of this problem. The efficiency of these algorithms is partly based on how the cost of each link is defined. In this study, we considered several basic metrics in cost of network links and compared their effects on the network capacity. In particular, the static costs and the dynamic costs were evaluated and compared. For dynamic scenarios, compared to static scenarios, at least one additional factor, the usage of the links, was added. We further considered a new factor that is based on probability of accommodating the signal at a given time in any given link. The results show that, among them, the shortest path algorithm provides the least blocking probability when the cost is a combination of link length and the abovementioned possibility/usage of the link. 展开更多
关键词 ELASTIC Optical Networks ROUTING Modulation Spectrum ALLOCATION cost function Shortest Path Algorithm
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Cost Effective Operating Strategy for Unit Commitment and Economic Dispatch of Thermal Power Plants with Cubic Cost Functions Using TLBO Algorithm
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作者 E. B. Elanchezhian S. Subramanian S. Ganesan 《Journal of Power and Energy Engineering》 2015年第6期20-30,共11页
This paper deals with a Unit Commitment (UC) problem of a power plant aimed to find the optimal scheduling of the generating units involving cubic cost functions. The problem has non convex generator characteristics, ... This paper deals with a Unit Commitment (UC) problem of a power plant aimed to find the optimal scheduling of the generating units involving cubic cost functions. The problem has non convex generator characteristics, which makes it very hard to handle the corresponding mathematical models. However, Teaching Learning Based Optimization (TLBO) has reached a high efficiency, in terms of solution accuracy and computing time for such non convex problems. Hence, TLBO is applied for scheduling of generators with higher order cost characteristics, and turns out to be computationally solvable. In particular, we represent a model that takes into account the accurate higher order generator cost functions along with ramp limits, and turns to be more general and efficient than those available in the literature. The behavior of the model is analyzed through proposed technique on modified IEEE-24 bus system. 展开更多
关键词 CUBIC cost functionS RAMP Rate TEACHING Learning Based Optimization Unit COMMITMENT
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Natural Monopoly and Mixed Ownership Reform--Based on Natural Experiment and Cost Function Analysis Method
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作者 Chen Lin 《China Economist》 2018年第5期60-83,共24页
Despite a multitude of theoretical discussions on China's mixed ownership reform, very few studies have addressed realistic questions concerning the implementation of the reform. The Resolutions of the Third Plenu... Despite a multitude of theoretical discussions on China's mixed ownership reform, very few studies have addressed realistic questions concerning the implementation of the reform. The Resolutions of the Third Plenum of the 18 th CPC Central Committee and other reform strategies have outlined the reform of sectors with natural monopoly, including urban public utility sectors. The question is how mixed ownership reform should be carried out in sectors of natural monopoly, or which public utilities sectors should enjoy priority of mixed ownership reform. To answer this question, this paper employs data of large public utility enterprises in China from 1998 to 2008, and estimates the natural monopoly attribute at the industry level and corporate total factor productivity(TFP) using cost function analysis method excluding the impact of product price factor. Based on the difference-indifferences-in-differences(DDD) method of natural experiment, an empirical test is carried out for the relationship among natural monopoly, mixed ownership reform and corporate productivity. Our results suggest that:(1) Statistically, mixed ownership reform cannot significantly increase corporate TFP in sectors with natural monopoly;(2) mixed ownership reform should not be carried out indiscriminately on a nationwide basis and for all public utilities sectors. Such an attempt of reform without distinguishing natural monopoly and the level of competitiveness is fraught with policy uncertainties;(3) relative to sectors with natural monopoly, corporate productivity in competitive sectors after mixed ownership reform will improve more significantly and enjoy greater "policy dividends" of institutional reform. Therefore, mixed ownership reform should be carried out first in competitive sectors. 展开更多
关键词 mixed OWNERSHIP REFORM NATURAL MONOPOLY cost function NATURAL experiment difference-in-differences-in-differences(DDD)method
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Composite Cost Function Based Solution to the Unit Commitment Problem
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作者 Srikrishna Subramanian Radhakrishnan Anandhakumar 《Smart Grid and Renewable Energy》 2010年第2期88-97,共10页
This paper presents a new approach via composite cost function to solve the unit commitment problem. The unit com-mitment problem involves determining the start-up and shut-down schedules for generating units to meet ... This paper presents a new approach via composite cost function to solve the unit commitment problem. The unit com-mitment problem involves determining the start-up and shut-down schedules for generating units to meet the fore-casted demand at the minimum cost. The commitment schedule must satisfy the other constraints such as the generating limits, spinning reserve, minimum up and down time, ramp level and individual units. The proposed algorithm gives the committed units and economic load dispatch for each specific hour of operation. Numerical simulations were carried out using three cases: four-generator, seven-generator, and ten-generator thermal unit power systems over a 24 h period. The produced schedule was compared with several other methods, such as Dynamic programming, Branch and bound, Ant colony system, and traditional Tabu search. The result demonstrated the accuracy of the proposed method. 展开更多
关键词 COMPOSITE cost function Generation SCHEDULING Unit COMMITMENT
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Pancreatic function,quality of life and costs at long-term follow-up after acute pancreatitis 被引量:15
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作者 Bodil Andersson Marie-Louise Pendse Roland Andersson 《World Journal of Gastroenterology》 SCIE CAS CSCD 2010年第39期4944-4951,共8页
AIM:To evaluate long-term endocrine and exocrine pancreatic function,quality of life and health care costs after mild acute pancreatitis and severe acute pancreatitis(SAP).METHODS:Patients prospectively included in 20... AIM:To evaluate long-term endocrine and exocrine pancreatic function,quality of life and health care costs after mild acute pancreatitis and severe acute pancreatitis(SAP).METHODS:Patients prospectively included in 2001-2005 were followed-up after 42(36-53)mo.Pancreatic function was evaluated with laboratory tests,the oral glucose tolerance test(OGTT),fecal elastase-1 and a questionnaire.Short Form(SF)-36,was completed.RESULTS:Fourteen patients with a history of SAP and 26 with mild acute pancreatitis were included.Plasma glucose after OGTT was higher after SAP(9.2 mmol/L vs 7.0 mmol/L,P=0.044).Diabetes mellitus or impaired glucose tolerance in fasting plasma glucose and/or 120 min plasma glucose were more common in SAP patients(11/14 vs 11/25,P=0.037).Sick leave,time until the patients could take up recreational activities and time until they had recovered were all longer after SAP(P <0.001).No significant differences in SF-36 were seen between the groups,or when comparing with age and gender matched reference groups.Total hospital costs,including primary care,follow-up and treatment of complications,were higher after SAP(median€16572 vs €5000,P<0.001).CONCLUSION:Endocrine pancreatic function was affected,especially after severe disease.SAP requires greater resource use with long recovery,but most patients regained a good quality of life. 展开更多
关键词 Acute PANCREATITIS ENDOCRINE function EXOCRINE function Quality of life cost
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多障碍环境下巡检机器人路径规划优化研究 被引量:4
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作者 乔道迹 张艳兵 《现代电子技术》 北大核心 2025年第1期130-134,共5页
针对大规模、密集的障碍物分布,高效地搜索最佳路径是一个挑战,为规划出更短的巡检路线,并实现多障碍环境下的灵活避障,文中提出一种多障碍环境下巡检机器人路径规划优化方法。使用二维矩阵构建巡检环境模型,应用D*算法在巡检环境模型... 针对大规模、密集的障碍物分布,高效地搜索最佳路径是一个挑战,为规划出更短的巡检路线,并实现多障碍环境下的灵活避障,文中提出一种多障碍环境下巡检机器人路径规划优化方法。使用二维矩阵构建巡检环境模型,应用D*算法在巡检环境模型中进行巡检机器人路径规划,并将传统D*算法中的扩展步长方式改变为自适应扩展步长,使机器人在面积较大的巡检场地能够更快地完成巡检;将代价函数由欧氏距离替换为切比雪夫诺距离和曼哈顿距离融合的代价函数,并引入了平滑度函数优化线路规划结果,使规划的路径更为平滑,在遇到由于多种原因产生的新障碍物时可以重新规划路径。通过实验结果可知,无论是静态地图还是动态地图,该方法均可以快速准确地规划出一条最佳路线,并且在多种环境中应用该方法能够高效获取路径规划结果。 展开更多
关键词 多障碍 巡检机器人 路径规划 D*算法 动态环境 扩展节点 代价函数 扩展步长
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结合有限集模型预测的改进下垂功率均分策略 被引量:1
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作者 程勇 周江浩 杜光辉 《燕山大学学报》 北大核心 2025年第3期219-228,共10页
针对低压微电网中并联逆变器由于线路阻抗参数不匹配造成有功功率分配失衡,以及有限集模型预测控制多目标优化权重系数设计复杂问题,提出一种结合有限集模型预测的改进下垂控制策略。首先通过改进传统下垂控制,实现有功功率精确分配。... 针对低压微电网中并联逆变器由于线路阻抗参数不匹配造成有功功率分配失衡,以及有限集模型预测控制多目标优化权重系数设计复杂问题,提出一种结合有限集模型预测的改进下垂控制策略。首先通过改进传统下垂控制,实现有功功率精确分配。其次添加电压恢复机制补偿负载突变带来的电压降落。然后结合有限集模型预测控制,提高系统动态响应速度,并在成本函数中利用电压电流串行评估,消除权重系数配置。最后仿真和实验结果表明,所提策略能够实现有功功率精确分配,补偿了电压降落,实现了逆变器的稳定运行。 展开更多
关键词 并联逆变器 下垂控制 功率均分 模型预测控制 成本函数 权重系数
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改进PSO-PH-RRT^(*)算法在智能车路径规划中的应用 被引量:1
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作者 蒋启龙 许健 《东北大学学报(自然科学版)》 北大核心 2025年第3期12-19,共8页
在机器人控制、智能车自主导航等应用场景中,路径规划需要考虑到环境中的障碍物、地形等因素.针对路径规划中快速拓展随机树(RRT)算法拓展目标方向盲目、效率较低的问题,提出了基于粒子群算法优化的均匀概率快速拓展随机树(PSO-PH-RRT^(... 在机器人控制、智能车自主导航等应用场景中,路径规划需要考虑到环境中的障碍物、地形等因素.针对路径规划中快速拓展随机树(RRT)算法拓展目标方向盲目、效率较低的问题,提出了基于粒子群算法优化的均匀概率快速拓展随机树(PSO-PH-RRT^(*))算法.该算法在基于均匀概率的快速拓展随机树(PHRRT^(*))算法的基础上,利用粒子群算法更新方向概率作为随机树节点的速度方向,从而改善了节点的位置更新策略,并将节点到目标向量的距离和轨迹平滑度作为粒子群算法的适应度函数.最后在多种障碍环境下进行仿真.结果表明,PSO-PH-RRT^(*)算法能大大减少迭代时间成本,同时改善路径长度和平滑度. 展开更多
关键词 路径规划 RRT算法 改进粒子群优化算法 目标向量 代价函数 适应度函数
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基于A-RRT^(*)算法的机械臂轨迹规划研究
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作者 杨瑞刚 王宇琦 +2 位作者 苗琦 史易烜 王南山 《组合机床与自动化加工技术》 北大核心 2025年第9期28-33,共6页
为了解决RRT^(*)(rapidly-exploring random tree star)算法在搜索过程中速度低下和冗余节点过多,路径代价等问题,在RRT^(*)算法的基础上提出一种A-RRT^(*)算法,A-RRT^(*)算法通过融合A^(*)算法中的代价函数和使用了动态步长策略有效缩... 为了解决RRT^(*)(rapidly-exploring random tree star)算法在搜索过程中速度低下和冗余节点过多,路径代价等问题,在RRT^(*)算法的基础上提出一种A-RRT^(*)算法,A-RRT^(*)算法通过融合A^(*)算法中的代价函数和使用了动态步长策略有效缩短了路径长度提升路径质量,改进剪枝策略减少了树搜索的冗余节点。根据算法在简单、复杂和密集环境下的仿真结果显示,在密集环境下A-RRT^(*)算法的无效冗余节点剪除94.29%、内存缩减了94.29%、搜索时间提高了96.28%、迭代次数缩减了91.49%、路径距离缩短了10.18%。为了防止生成的路径不平整而使机械臂在运行中造成损伤,利用了三次B样条对路径进行了优化,通过三维机械臂仿真也可得出优化后的路径更加平滑,减少了机械臂在运行过程中的关节波动,更有利于机械臂的运行,进一步验证了算法在机械臂运行中的有效性。 展开更多
关键词 轨迹规划 RRT^(*) 动态步长 代价函数
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工业无线传感器网络防移动干扰攻击节点的Stackelberg博弈
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作者 孙子文 翟润华 杨晨曦 《传感技术学报》 北大核心 2025年第6期1081-1088,共8页
针对工业无线传感器网络k节点抗干扰攻击问题,研究一种抵御移动攻击节点的Stackelberg博弈模型。在攻击节点效用函数中加入以能量消耗函数、信道损耗函数和奖励收益函数为成本的代价函数,以约束节点的攻击效率。将移动Sink节点与移动攻... 针对工业无线传感器网络k节点抗干扰攻击问题,研究一种抵御移动攻击节点的Stackelberg博弈模型。在攻击节点效用函数中加入以能量消耗函数、信道损耗函数和奖励收益函数为成本的代价函数,以约束节点的攻击效率。将移动Sink节点与移动攻击节点之间的对抗交互行为建模为功率控制Stackelberg模型,通过求解博弈均衡解,给出节点移动位置下的最佳功率。MATLAB仿真结果表明,相比未引入成本代价函数的其他博弈功率控制方案,该方案能更有效地抑制移动攻击节点的干扰能力,同时提高移动k节点抵御干扰攻击的性能。 展开更多
关键词 工业无线传感器网络 STACKELBERG博弈 成本代价函数 干扰攻击 移动攻击节点
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电力电子变换器MPC权重系数的ANN设计
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作者 毕长飞 《机械设计与制造》 北大核心 2025年第9期221-224,共4页
针对电力电子变换器采用有限集模型预测控制(MPC)时,其成本函数中权重系数难以整定的问题,设计了一种基于人工神经网络(ANN)的新型MPC权重系数整定方案。基于仿真平台搭建了变换器电路仿真模型并代入不同权重系数进行测试以获取对应的... 针对电力电子变换器采用有限集模型预测控制(MPC)时,其成本函数中权重系数难以整定的问题,设计了一种基于人工神经网络(ANN)的新型MPC权重系数整定方案。基于仿真平台搭建了变换器电路仿真模型并代入不同权重系数进行测试以获取对应的如总谐波失真等关键性能指标,然后利用这些数据对ANN进行训练,使得ANN具备为任意权重系数组合快速准确估计性能指标的能力。从而,对于任意结合输出指标的用户自定义适应度函数,可快速准确地找到权重系数优化组合。利用不间断电源系统开展了对MPC权重系数设计的ANN方法的实验,实验结果为对于指定的示例性适应度函数,采用AAN设计权重系数后可产生预期的控制性能,并对负载变化具有一定的鲁棒性,同时与仿真模型的误差小于3%,与实测误差小于10%。实验结果验证了所设计的ANN方法整定电力电子变换器MPC权重系数的有效性。 展开更多
关键词 模型预测控制 电力电子变换器 成本函数 权重系数 人工神经网络
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历史航行数据挖掘下船舶路径低延时规划研究
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作者 李宗锋 罗汉江 齐林 《舰船科学技术》 北大核心 2025年第16期163-167,共5页
船舶航行的轨迹数据因时间序列稀疏性导致经验路径集中出现分形维度突变,使得路径规划过度关注局部而增加整体耗时。为此,提出基于历史数据挖掘的低延时船舶路径规划方法。分析船舶历史航行数据时间序列,计算路径平均运行速度,构建历史... 船舶航行的轨迹数据因时间序列稀疏性导致经验路径集中出现分形维度突变,使得路径规划过度关注局部而增加整体耗时。为此,提出基于历史数据挖掘的低延时船舶路径规划方法。分析船舶历史航行数据时间序列,计算路径平均运行速度,构建历史航行经验路径集;针对历史航行经验路径集路径耗散的分形维度,生成初始避碰路径,构建初始避碰路径的目标函数,综合考虑风浪和水流对速度的影响,平滑处理路径耗散分形维度,平衡局部与全局优化,实现船舶最佳低延时航行路径的求解。实验证明,所提方法能够实现船舶路径低延时规划,路径平滑度高,耗时少。 展开更多
关键词 历史航行数据 经验路径集挖掘 低延时规划 代价函数
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基于理想电压矢量位置的永磁同步电机模型预测电流控制
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作者 程勇 颜宇尧 杜光辉 《电机与控制学报》 北大核心 2025年第4期135-146,共12页
针对永磁同步电机采用传统三矢量模型预测电流控制时存在的运算复杂、延时较高等问题,提出一种基于理想电压矢量位置的模型预测电流控制策略。首先,根据矢量合成和扇区划分原理,在线寻优选择第一最优电压矢量,接着通过引入额外电压矢量... 针对永磁同步电机采用传统三矢量模型预测电流控制时存在的运算复杂、延时较高等问题,提出一种基于理想电压矢量位置的模型预测电流控制策略。首先,根据矢量合成和扇区划分原理,在线寻优选择第一最优电压矢量,接着通过引入额外电压矢量,对原基本电压矢量所在扇区进行细分并结合理想电压矢量位置选择第二最优电压矢量,最后由开关切换次数最少原则确定零矢量。其次,为进一步减小计算量,所选电压矢量的作用时间基于直交轴分量误差最小原则算出。此外,为确保系统控制性能在不同工况下均能保持良好,根据电机的运行状态优化设计了价值函数结构。仿真和实验结果表明,所提算法减少了电压矢量的寻优次数和控制器的计算时间,提高了系统的响应速度和跟踪能力,降低了控制延时,减小了电流和转速脉动,具有良好的动态响应和稳态性能。 展开更多
关键词 永磁同步电机 模型预测电流控制 矢量位置 矢量作用时间 价值函数 响应速度
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求解无人机三维路径规划问题的动态多子群樽海鞘群算法
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作者 巫光福 王小林 《科学技术与工程》 北大核心 2025年第13期5501-5514,共14页
无人机三维路径规划问题是在复杂三维环境中找到起点与终点之间最优路径的组合优化问题,但大多数路径规划算法难以在可接受的时间和精度范围内找到可行路径,因此提出了一种基于K-means++聚类优化的动态多子群樽海鞘群算法用于解决上述... 无人机三维路径规划问题是在复杂三维环境中找到起点与终点之间最优路径的组合优化问题,但大多数路径规划算法难以在可接受的时间和精度范围内找到可行路径,因此提出了一种基于K-means++聚类优化的动态多子群樽海鞘群算法用于解决上述问题。首先,在三维环境模型中结合高度成本提出新的成本函数,将路径规划问题转化为多维函数优化问题。其次,采用K-means++聚类算法对种群进行分群,并设计动态多子群机制均衡算法的全局搜索与局部开发;各子群结合多策略协同改进,在避免算法陷入局部最优的同时提高全局寻优能力。最后,在12个CEC2017基准测试函数中验证了该算法对比其他5种算法(ISSA、MSNSSA、IBSO、MBFPA、SSA)的性能后,将其应用于三维环境中对最优路径规划问题进行求解。在不同的环境模型下的仿真实验结果表明,该算法的平均有效路径率相较于其他5种算法分别提高了15.5%、11%、23%、20.5%和18%,这证实了该算法在复杂环境下具有优秀的寻优能力。 展开更多
关键词 三维路径规划 成本函数 樽海鞘群算法 K-means++聚类算法 动态多子群 协同改进
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