首页 > 最新文献

控制与决策最新文献

英文 中文
基于同构Frank t-模与 s-模的勾股模糊Frank 集结算子及其应用 基于同构Frank t-模与 s-模的勾股模糊Frank 集结算子及其应用
Q3 Mathematics Pub Date : 2018-08-25 DOI: 10.13195/J.KZYJC.2017.0532
杨艺, Yang Yi, 李延来, LI Yan-lai, 丁恒, Di Heng, 钱桂生, Qian Gui-sheng, 吕红霞, Lyu Hong-xia
运用单位区间上的自同构构造一种适用于勾股模糊环境下的同构Frank t-模与其对偶s-模, 进而定义勾股模糊集的广义运算法则, 并探究新法则的相关性质.应用新的运算法则提出勾股模糊Frank加权平均(PFFWA)算子与勾股模糊Frank加权几何(PFFWG)算子, 证明算子的相关性质.利用PFFWA与PFFWG算子提出一种解决勾股模糊多属性决策问题的新方法.通过解决航空公司服务质量评估问题, 对比分析新方法与现存的决策方法, 进而表明新方法的可行性和灵活性, 并验证了新方法具有反馈决策者态度特征的能力.
运用单位区间上的自同构构造一种适用于勾股模糊环境下的同构Frank t-模与其对偶s-模, 进而定义勾股模糊集的广义运算法则, 并探究新法则的相关性质.应用新的运算法则提出勾股模糊Frank加权平均(PFFWA)算子与勾股模糊Frank加权几何(PFFWG)算子, 证明算子的相关性质.利用PFFWA与PFFWG算子提出一种解决勾股模糊多属性决策问题的新方法.通过解决航空公司服务质量评估问题, 对比分析新方法与现存的决策方法, 进而表明新方法的可行性和灵活性, 并验证了新方法具有反馈决策者态度特征的能力.
{"title":"基于同构Frank t-模与 s-模的勾股模糊Frank 集结算子及其应用","authors":"杨艺, Yang Yi, 李延来, LI Yan-lai, 丁恒, Di Heng, 钱桂生, Qian Gui-sheng, 吕红霞, Lyu Hong-xia","doi":"10.13195/J.KZYJC.2017.0532","DOIUrl":"https://doi.org/10.13195/J.KZYJC.2017.0532","url":null,"abstract":"运用单位区间上的自同构构造一种适用于勾股模糊环境下的同构Frank t-模与其对偶s-模, 进而定义勾股模糊集的广义运算法则, 并探究新法则的相关性质.应用新的运算法则提出勾股模糊Frank加权平均(PFFWA)算子与勾股模糊Frank加权几何(PFFWG)算子, 证明算子的相关性质.利用PFFWA与PFFWG算子提出一种解决勾股模糊多属性决策问题的新方法.通过解决航空公司服务质量评估问题, 对比分析新方法与现存的决策方法, 进而表明新方法的可行性和灵活性, 并验证了新方法具有反馈决策者态度特征的能力.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"40 1","pages":"1471-1480"},"PeriodicalIF":0.0,"publicationDate":"2018-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89152361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Speed-regulating system for induction motor and inverter based on Hammerstein model and neural network control 基于Hammerstein模型和神经网络控制的感应电机和逆变器调速系统
Q3 Mathematics Pub Date : 2015-03-31 DOI: 10.14257/IJCA.2015.8.3.27
C. Mei, Wentao Huang, Kaiting Yin, Guohai Liu
A novel control strategy based on Hammerstein model and neural network for the speedregulating system of the induction motor and inverter is proposed in this paper. First, Hammerstein model was used to model the speed-regulation system of the induction motor and inverter. Auto-regressive and moving average (ARMA) model was used to identify the dynamic linear module of Hammerstein model of the speed-regulating system. Second, the ARMA model was used as a reference model for identification of the inverse model of static nonlinear neural network (NN) module of Hammerstein model in the framework of the model reference adaptive control method. For the load disturbance issue, two control strategies, online learning neural network direct inverse control and the traditional PI close-loop control strategy were studied. Simulations show that the inverse control based on Hammerstein model and NN is effective and the online learning neural network direct inverse control strategy for the speed-regulating system with load disturbance has higher performance.
提出了一种基于Hammerstein模型和神经网络的异步电动机和逆变器调速系统控制策略。首先,采用Hammerstein模型对异步电机和逆变器的调速系统进行建模。采用自回归移动平均(ARMA)模型对调速系统Hammerstein模型的动态线性模块进行辨识。其次,在模型参考自适应控制方法框架下,利用ARMA模型作为参考模型,对Hammerstein模型的静态非线性神经网络(NN)模块逆模型进行辨识。针对负载扰动问题,研究了在线学习神经网络直接逆控制和传统PI闭环控制两种控制策略。仿真结果表明,基于Hammerstein模型和神经网络的逆控制是有效的,在线学习神经网络直接逆控制策略对负载扰动的调速系统具有较高的控制性能。
{"title":"Speed-regulating system for induction motor and inverter based on Hammerstein model and neural network control","authors":"C. Mei, Wentao Huang, Kaiting Yin, Guohai Liu","doi":"10.14257/IJCA.2015.8.3.27","DOIUrl":"https://doi.org/10.14257/IJCA.2015.8.3.27","url":null,"abstract":"A novel control strategy based on Hammerstein model and neural network for the speedregulating system of the induction motor and inverter is proposed in this paper. First, Hammerstein model was used to model the speed-regulation system of the induction motor and inverter. Auto-regressive and moving average (ARMA) model was used to identify the dynamic linear module of Hammerstein model of the speed-regulating system. Second, the ARMA model was used as a reference model for identification of the inverse model of static nonlinear neural network (NN) module of Hammerstein model in the framework of the model reference adaptive control method. For the load disturbance issue, two control strategies, online learning neural network direct inverse control and the traditional PI close-loop control strategy were studied. Simulations show that the inverse control based on Hammerstein model and NN is effective and the online learning neural network direct inverse control strategy for the speed-regulating system with load disturbance has higher performance.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73018424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Nonlinear generalized minimum variance control of linear hybrid automata 线性混合自动机的非线性广义最小方差控制
Q3 Mathematics Pub Date : 2014-02-01 DOI: 10.13195/J.KZYJC.2012.1343
Y. Pang, Wei-Liang Li, H. Xia
This paper investigates the linear hybrid automata(LHA) model. Under some certain conditions, linear hybrid automata(LHA) can be converted into their equivalent state-dependent space models, where equivalence means that the two systems generate the same trajectory. The controller of state-dependent space model can be designed by using a nonlinear generalized minimum variance(NGMV) algorithm. NGMV controller is designed for a very general nonlinear model, which can include a set of delay terms and external disturbances. The controller is easy to be computed and implemented. Simulation results show that the NGMV algorithm can control linear hyprid automata effectively, and satisfying effect is obtained under the condition of time delay, disturbance and noise exsiting in the system.
本文研究了线性混合自动机(LHA)模型。在一定条件下,线性混合自动机(LHA)可以转化为它们的等价状态相关空间模型,其中等价意味着两个系统产生相同的轨迹。采用非线性广义最小方差(NGMV)算法设计状态相关空间模型的控制器。NGMV控制器是针对一种非常一般的非线性模型设计的,该模型可能包含一组延迟项和外部干扰。该控制器易于计算和实现。仿真结果表明,NGMV算法可以有效地控制线性混合自动机,并且在系统存在时滞、干扰和噪声的情况下取得了满意的效果。
{"title":"Nonlinear generalized minimum variance control of linear hybrid automata","authors":"Y. Pang, Wei-Liang Li, H. Xia","doi":"10.13195/J.KZYJC.2012.1343","DOIUrl":"https://doi.org/10.13195/J.KZYJC.2012.1343","url":null,"abstract":"This paper investigates the linear hybrid automata(LHA) model. Under some certain conditions, linear hybrid automata(LHA) can be converted into their equivalent state-dependent space models, where equivalence means that the two systems generate the same trajectory. The controller of state-dependent space model can be designed by using a nonlinear generalized minimum variance(NGMV) algorithm. NGMV controller is designed for a very general nonlinear model, which can include a set of delay terms and external disturbances. The controller is easy to be computed and implemented. Simulation results show that the NGMV algorithm can control linear hyprid automata effectively, and satisfying effect is obtained under the condition of time delay, disturbance and noise exsiting in the system.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"09 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74443323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An online competitive algorithm for network monitor nodes sequence deployment problem 网络监控节点序列部署问题的在线竞争算法
Q3 Mathematics Pub Date : 2014-01-01 DOI: 10.13195/J.KZYJC.2013.0083
B. Feng, Bo Dai
With the rapid development of the world wide web, the network monitoring systems need to be built within the network, but due to huge cost, when the network monitoring system is designed, all of the edges can not be monitored at one time. Instead only a limited number of network nodes can be chosen to monitor a small part of the edge, and later the deployment of a new network monitoring node is increased. Based on the online theory, the online vertex covering problem is studied. A competitive algorithm is presented with a constant competitive ratio. The performance of the competitive ratio is better than the existed result.
随着万维网的飞速发展,网络监控系统需要建立在网络内部,但由于网络监控系统设计成本巨大,无法一次对所有边缘进行监控。相反,只能选择有限数量的网络节点来监视边缘的一小部分,然后增加新的网络监视节点的部署。基于在线理论,研究了在线顶点覆盖问题。提出了一种具有恒定竞争比的竞争算法。竞争比的性能优于已有的结果。
{"title":"An online competitive algorithm for network monitor nodes sequence deployment problem","authors":"B. Feng, Bo Dai","doi":"10.13195/J.KZYJC.2013.0083","DOIUrl":"https://doi.org/10.13195/J.KZYJC.2013.0083","url":null,"abstract":"With the rapid development of the world wide web, the network monitoring systems need to be built within the network, but due to huge cost, when the network monitoring system is designed, all of the edges can not be monitored at one time. Instead only a limited number of network nodes can be chosen to monitor a small part of the edge, and later the deployment of a new network monitoring node is increased. Based on the online theory, the online vertex covering problem is studied. A competitive algorithm is presented with a constant competitive ratio. The performance of the competitive ratio is better than the existed result.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85730217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal Control Strategy for Serial Supply Chain 串行供应链的最优控制策略
Q3 Mathematics Pub Date : 2009-01-01 DOI: 10.5772/6650
Min Huang, Xingwei Wang, Jianqin Ding
The determination of the optimal control strategy is one of the key factors for the success of supply chain management.Therefore,the control strategy of serial supply chain is studied.First,the optimal model of the serial supply chain inventory control is proposed based on the nonlinear integer programming model combined with the general push/pull control model.Then,the optimal control strategy is obtained by integrating the genetic algorithm and simulation.Case study shows the effectiveness of the method.
最优控制策略的确定是供应链管理成功的关键因素之一。因此,本文对串行供应链的控制策略进行了研究。首先,将非线性整数规划模型与一般的推拉控制模型相结合,提出了串行供应链库存控制的最优模型;然后,将遗传算法与仿真相结合,得到最优控制策略。实例分析表明了该方法的有效性。
{"title":"Optimal Control Strategy for Serial Supply Chain","authors":"Min Huang, Xingwei Wang, Jianqin Ding","doi":"10.5772/6650","DOIUrl":"https://doi.org/10.5772/6650","url":null,"abstract":"The determination of the optimal control strategy is one of the key factors for the success of supply chain management.Therefore,the control strategy of serial supply chain is studied.First,the optimal model of the serial supply chain inventory control is proposed based on the nonlinear integer programming model combined with the general push/pull control model.Then,the optimal control strategy is obtained by integrating the genetic algorithm and simulation.Case study shows the effectiveness of the method.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85076723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Study of predictive functional control algorithm based on grey system model 基于灰色系统模型的预测函数控制算法研究
Q3 Mathematics Pub Date : 2004-01-01 DOI: 10.1109/icca.2003.1229132
Pan Hong-hua
An algorithm of predictive functional control based on grey system model is proposed. The problem of how to set up grey system model and how to calculate the output of predictive model and the equation of control law is addressed. The simulation results show that the algorithm of predictive functional control has better robustness, quick tracking and high control precision.
提出了一种基于灰色系统模型的预测函数控制算法。研究了灰色系统模型的建立、预测模型输出和控制律方程的计算等问题。仿真结果表明,预测函数控制算法具有较好的鲁棒性、跟踪速度快、控制精度高等特点。
{"title":"Study of predictive functional control algorithm based on grey system model","authors":"Pan Hong-hua","doi":"10.1109/icca.2003.1229132","DOIUrl":"https://doi.org/10.1109/icca.2003.1229132","url":null,"abstract":"An algorithm of predictive functional control based on grey system model is proposed. The problem of how to set up grey system model and how to calculate the output of predictive model and the equation of control law is addressed. The simulation results show that the algorithm of predictive functional control has better robustness, quick tracking and high control precision.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85196751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Advances in simulation optimization 仿真优化研究进展
Q3 Mathematics Pub Date : 2003-01-01 DOI: 10.1109/icit.2016.7474885
Zheng Da-zhong
Simulation optimization with strong engineering background studies the optimization problem of simulation-based objectives, which is often of some hardness, such as stochastic nature, time- consuming and NP-hardness. Currently, simulation optimization has been a hot and new topic in the fields of system simulation, operational research and so on, especially in the field of discrete event dynamical systems. By analyzing the features of simulation optimization, a survey on the algorithms, improvements, applications and software of simulation optimization is provided and some further research contents and directions are presented.
仿真优化研究基于仿真的目标优化问题,具有较强的工程背景,这些目标往往具有一定的硬度,如随机性、耗时性和np硬度。目前,仿真优化问题已成为系统仿真、运筹学等领域,特别是离散事件动力系统领域的一个热点和新兴课题。通过分析仿真优化的特点,对仿真优化的算法、改进、应用和软件进行了综述,并提出了进一步研究的内容和方向。
{"title":"Advances in simulation optimization","authors":"Zheng Da-zhong","doi":"10.1109/icit.2016.7474885","DOIUrl":"https://doi.org/10.1109/icit.2016.7474885","url":null,"abstract":"Simulation optimization with strong engineering background studies the optimization problem of simulation-based objectives, which is often of some hardness, such as stochastic nature, time- consuming and NP-hardness. Currently, simulation optimization has been a hot and new topic in the fields of system simulation, operational research and so on, especially in the field of discrete event dynamical systems. By analyzing the features of simulation optimization, a survey on the algorithms, improvements, applications and software of simulation optimization is provided and some further research contents and directions are presented.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79068010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
期刊
控制与决策
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1