To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on impr...To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatial situation is proposed to quantify the concealment of UAV penetration. Then the structure-particle swarm optimization(PSO) algorithm is improved from three aspects.First, the conversion ability of the search strategy is enhanced by using the system clustering method and the information entropy grouping strategy instead of random grouping and constructing the state switching conditions based on the fitness function.Second, the unclear setting of iteration numbers is addressed by using particle spacing to create the termination condition of the algorithm. Finally, the trajectory is optimized to meet the intended requirements by building a predictive control model and using the IHPSO for simulation verification. Numerical examples show the superiority of the proposed method over the existing PSO methods.展开更多
为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holoni...为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holonic-C2组织的基本结构;其次,对Holonic-C2组织的决策权限进行分析,给出决策模式的划分及确定方法;最后,研究在不同决策模式下Holon单元资源调度及针对不确定性事件的动态调度方法,建立集中与协作相结合的资源调度和调整机制。展开更多
为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一...为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性;针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。展开更多
Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the beha...Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the behavioral data are noisy because users often clicked some irrelevant documents to find their required information,and the new user cold start issue represents a serious problem,greatly reducing the performance of personalized search.This paper attempts to utilize online social network data to obtain user preferences that can be used to personalize search results,mine the knowledge of user interests,user influence and user relationships from online social networks,and use this knowledge to optimize the results returned by search engines.The proposed model is based on a holonic multiagent system that improves the adaptability and scalability of the model.The experimental results show that utilizing online social network data to implement personalized search is feasible and that online social network data are significant for personalized search.展开更多
This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here...This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here for the first time as Holonic Management Tree (HMT) and has been consistently contextualized into undergoing research on technological frameworks for the management cybernetics, in which the concept of viable system represents a fundamental stance. HMT is based on the use of recursive formulas over self-similar holonic structures for the attainment of continuous performance improvement in a complex and continuously evolving process. The problem is associated to a recursive tree of self-similar structures of which in this paper we discuss the interpretation with respect to knowledge modeling domain. The basic expressions for the computation of the 2nd degree trees are provided and explained in detail by means of an example in lean management context. Moreover, this work presents and discusses the expressions that handle the implementation of the n-th degree case as a recurrent abstraction of the basic and simple 2nd degree computation.展开更多
This work shows how to develop a methodology to support and integrate the concepts and projects of the Holonic Manufacturing System(HMS)with the other areas of the organization for full organizational management succe...This work shows how to develop a methodology to support and integrate the concepts and projects of the Holonic Manufacturing System(HMS)with the other areas of the organization for full organizational management success,being a new entrepreneurial management,with support of this new technology in the reduction of costs and increased value added.HMS is in the process of being developed in the so-called"Consortium of the Rich Countries for the 21st Century",which involves governments,companies and universities from the first world countries,developing technology and knowledge related to the Holonic Manufacturing System(HMS).This new concept,under development by the above consortium,will allow the countries that hold this advancement to overcome the challenges of the globalized market and gain even more international competitiveness.展开更多
With the growing concerns about sustainable energy, energy efficiency and energy security, the electrical power system is undergoing major changes. Distributed energy sources are becoming widely available at the lower...With the growing concerns about sustainable energy, energy efficiency and energy security, the electrical power system is undergoing major changes. Distributed energy sources are becoming widely available at the lower parts of the grid. As a result, more and more end consumers are transforming from passive consumers to active “prosumers” that can autonomously generate, store, import and/or export power. As prosumers increasingly dominate the power system, the system demands capability that allows enormous number of stakeholders with heterogeneous types to exchange power on the grid. Unfortunately, the classical power system cannot efficiently handle this scenario since it was designed for centralized power distribution. Thus, restructuring the rather old power system is indispensable. In this paper, we apply the holonic approach to structure the smart grid as a system that is bottom-up organized from autonomous prosumers that are recursively clustered at various aggregation layers. Based on this, we present a control architecture of the smart grid using holonic concepts. Our control architecture is characterized by autonomy of the prosumers, distributed control, recursive self-similar control structures at different aggregation levels. Further, we present a service oriented architecture (SOA) framework that models the control functions that make up the holonic control architecture. Our proposed control architecture is tested using a simulation set-up.展开更多
In the wide context of facility management,several processes,such as operations,maintenance,retrofitting,and renovations,ensure that buildings comply with the principles of efficiency,cost-effectiveness,and indoor com...In the wide context of facility management,several processes,such as operations,maintenance,retrofitting,and renovations,ensure that buildings comply with the principles of efficiency,cost-effectiveness,and indoor comfort.Apart from ordinary operation,facility management is responsible for the renovation of and long-term performance improvement of building facilities.In such a scenario,the cyber–physical system(CPS)paradigm with holonic architecture,which is the focus of this study,can successfully guide the operation management and long-term refurbishment processes of buildings.Analogous to the manufacturing field,the developed CPS maximizes holons’self-configuration and self-organization and overall throughput effectiveness metrics to detect the best corrective actions toward system improvements.Consequently,suggestions and lessons learned from the evaluation of building efficiency are redirected to the building information model.Hence,the digital model acts as a repository of currently available equipment for operations management and the history of diagnoses that support decision-making during the maintenance,retrofitting,and renovation processes.Evidently,the repeated detection of a specific issue,which is unaffected by operations management,should be considered an opportunity to act and enhance the performances of existing building components.Similar to a goods-producing industry,the building management system developed in this study applies the aforementioned methodology to provide services related to indoor comfort and building health.This approach indicates that a method for automatic real-time diagnosis is tested in a case study consisting of a multi-use and large public building.The current paper,which is an extended version of the one presented in the Creative Construction Conference 2018,deepens the decision support tool and the supervision policy.Moreover,the developed system is contextualized by providing an example of use case and highlighting the step forward in the field of smart buildings.展开更多
Presently,modular designs use various technologies accompanied by multiple models.Although no integral solution is known,a plethora of approaches is used to resolve this trans disciplinary challenge,often by using loc...Presently,modular designs use various technologies accompanied by multiple models.Although no integral solution is known,a plethora of approaches is used to resolve this trans disciplinary challenge,often by using local intelligence.However,the effective utilization of multiple models requires proper integration for them to work together as a cohesive system.This requirement calls for the development of intelligent models and tools that can be used for the development of intelligent modular products.Modular design based on these intelligent models and tools is called intelligent modular design.Intelligent modular design requires to be considered both dynamically and holistically by combining customer requirements,product functions,solutions,service specifications,and their fuzziness in order to structure a product into intelligent modules.This paper proposes the use of holonic fuzzy agents to fulfill both the properties of intelligent models and the requirements of intelligent modular design.The set of fuzzy function agents and their corresponding fuzzy solution agents are found from customization of the product-service system in the fuzzy function agent-fuzzy solution agent sub-network.On the basis of attractor agent recognition,the fuzzy function and fuzzy solution agents interact to form the holonic fuzzy module agents.Selfembedding of holonic fuzzy module agents,which is the fundamental property of the holonic structure,is also characterized by vertical and horizontal communication.The flexibility and agility of the software agent make the holonic structure of intelligent modules adaptable.An application illustrates the proposed intelligent modular design.展开更多
基金supported by the National Natural Science Foundation of China (61502522)Hubei Provincial Natural Science Foundation(2019CFC897)。
文摘To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatial situation is proposed to quantify the concealment of UAV penetration. Then the structure-particle swarm optimization(PSO) algorithm is improved from three aspects.First, the conversion ability of the search strategy is enhanced by using the system clustering method and the information entropy grouping strategy instead of random grouping and constructing the state switching conditions based on the fitness function.Second, the unclear setting of iteration numbers is addressed by using particle spacing to create the termination condition of the algorithm. Finally, the trajectory is optimized to meet the intended requirements by building a predictive control model and using the IHPSO for simulation verification. Numerical examples show the superiority of the proposed method over the existing PSO methods.
文摘为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holonic-C2组织的基本结构;其次,对Holonic-C2组织的决策权限进行分析,给出决策模式的划分及确定方法;最后,研究在不同决策模式下Holon单元资源调度及针对不确定性事件的动态调度方法,建立集中与协作相结合的资源调度和调整机制。
文摘为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性;针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。
基金supported by the National Natural Science Foundation of China (61972300, 61672401, 61373045, and 61902288,)the Pre-Research Project of the “Thirteenth Five-Year-Plan” of China (315***10101 and 315**0102)
文摘Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the behavioral data are noisy because users often clicked some irrelevant documents to find their required information,and the new user cold start issue represents a serious problem,greatly reducing the performance of personalized search.This paper attempts to utilize online social network data to obtain user preferences that can be used to personalize search results,mine the knowledge of user interests,user influence and user relationships from online social networks,and use this knowledge to optimize the results returned by search engines.The proposed model is based on a holonic multiagent system that improves the adaptability and scalability of the model.The experimental results show that utilizing online social network data to implement personalized search is feasible and that online social network data are significant for personalized search.
文摘This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here for the first time as Holonic Management Tree (HMT) and has been consistently contextualized into undergoing research on technological frameworks for the management cybernetics, in which the concept of viable system represents a fundamental stance. HMT is based on the use of recursive formulas over self-similar holonic structures for the attainment of continuous performance improvement in a complex and continuously evolving process. The problem is associated to a recursive tree of self-similar structures of which in this paper we discuss the interpretation with respect to knowledge modeling domain. The basic expressions for the computation of the 2nd degree trees are provided and explained in detail by means of an example in lean management context. Moreover, this work presents and discusses the expressions that handle the implementation of the n-th degree case as a recurrent abstraction of the basic and simple 2nd degree computation.
文摘This work shows how to develop a methodology to support and integrate the concepts and projects of the Holonic Manufacturing System(HMS)with the other areas of the organization for full organizational management success,being a new entrepreneurial management,with support of this new technology in the reduction of costs and increased value added.HMS is in the process of being developed in the so-called"Consortium of the Rich Countries for the 21st Century",which involves governments,companies and universities from the first world countries,developing technology and knowledge related to the Holonic Manufacturing System(HMS).This new concept,under development by the above consortium,will allow the countries that hold this advancement to overcome the challenges of the globalized market and gain even more international competitiveness.
文摘With the growing concerns about sustainable energy, energy efficiency and energy security, the electrical power system is undergoing major changes. Distributed energy sources are becoming widely available at the lower parts of the grid. As a result, more and more end consumers are transforming from passive consumers to active “prosumers” that can autonomously generate, store, import and/or export power. As prosumers increasingly dominate the power system, the system demands capability that allows enormous number of stakeholders with heterogeneous types to exchange power on the grid. Unfortunately, the classical power system cannot efficiently handle this scenario since it was designed for centralized power distribution. Thus, restructuring the rather old power system is indispensable. In this paper, we apply the holonic approach to structure the smart grid as a system that is bottom-up organized from autonomous prosumers that are recursively clustered at various aggregation layers. Based on this, we present a control architecture of the smart grid using holonic concepts. Our control architecture is characterized by autonomy of the prosumers, distributed control, recursive self-similar control structures at different aggregation levels. Further, we present a service oriented architecture (SOA) framework that models the control functions that make up the holonic control architecture. Our proposed control architecture is tested using a simulation set-up.
文摘In the wide context of facility management,several processes,such as operations,maintenance,retrofitting,and renovations,ensure that buildings comply with the principles of efficiency,cost-effectiveness,and indoor comfort.Apart from ordinary operation,facility management is responsible for the renovation of and long-term performance improvement of building facilities.In such a scenario,the cyber–physical system(CPS)paradigm with holonic architecture,which is the focus of this study,can successfully guide the operation management and long-term refurbishment processes of buildings.Analogous to the manufacturing field,the developed CPS maximizes holons’self-configuration and self-organization and overall throughput effectiveness metrics to detect the best corrective actions toward system improvements.Consequently,suggestions and lessons learned from the evaluation of building efficiency are redirected to the building information model.Hence,the digital model acts as a repository of currently available equipment for operations management and the history of diagnoses that support decision-making during the maintenance,retrofitting,and renovation processes.Evidently,the repeated detection of a specific issue,which is unaffected by operations management,should be considered an opportunity to act and enhance the performances of existing building components.Similar to a goods-producing industry,the building management system developed in this study applies the aforementioned methodology to provide services related to indoor comfort and building health.This approach indicates that a method for automatic real-time diagnosis is tested in a case study consisting of a multi-use and large public building.The current paper,which is an extended version of the one presented in the Creative Construction Conference 2018,deepens the decision support tool and the supervision policy.Moreover,the developed system is contextualized by providing an example of use case and highlighting the step forward in the field of smart buildings.
基金supported by the National Natural Science Foundation of China(Grant No.51205242)Shanghai Science and Technology Innovation Action Plan(Grant No.16111106402).
文摘Presently,modular designs use various technologies accompanied by multiple models.Although no integral solution is known,a plethora of approaches is used to resolve this trans disciplinary challenge,often by using local intelligence.However,the effective utilization of multiple models requires proper integration for them to work together as a cohesive system.This requirement calls for the development of intelligent models and tools that can be used for the development of intelligent modular products.Modular design based on these intelligent models and tools is called intelligent modular design.Intelligent modular design requires to be considered both dynamically and holistically by combining customer requirements,product functions,solutions,service specifications,and their fuzziness in order to structure a product into intelligent modules.This paper proposes the use of holonic fuzzy agents to fulfill both the properties of intelligent models and the requirements of intelligent modular design.The set of fuzzy function agents and their corresponding fuzzy solution agents are found from customization of the product-service system in the fuzzy function agent-fuzzy solution agent sub-network.On the basis of attractor agent recognition,the fuzzy function and fuzzy solution agents interact to form the holonic fuzzy module agents.Selfembedding of holonic fuzzy module agents,which is the fundamental property of the holonic structure,is also characterized by vertical and horizontal communication.The flexibility and agility of the software agent make the holonic structure of intelligent modules adaptable.An application illustrates the proposed intelligent modular design.
