Search scope:
排序： Display mode:
Robust distributed model predictive consensus of discrete-time multi-agent systems: a self-triggered approach Research Articles
Jiaqi Li, Qingling Wang, Yanxu Su, Changyin Sun,jiaqil2018@seu.edu.cn,qlwang@seu.edu.cn,yanxu.su@seu.edu.cn,cysun@seu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8, Pages 1068-1079 doi: 10.1631/FITEE.2000182
Keywords： 一致性；自触发控制；分布式模型预测控制
Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles Research Article
Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1020-1031 doi: 10.1631/FITEE.2100559
Keywords： Distributed game strategy Unmanned aerial vehicle (UAV) Distributed model predictive control (MPC) Levy flight based pigeon inspired optimization (LFPIO) Non-singular fast terminal sliding mode observer (NFTSMO) Obstacle avoidance strategy
High Precision Adaptive Predictive Control for Cruise Missile
Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming
Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 23-27
Cruise missile achieves good flight performance by means of stabilization and regulation of its attitudes. Based on analysis of the perturbation model of missile*s dynamic characteristics, series control structures are constructed for attitude control loop, and their discrete models are served as controlled plant for recursive least square (RLS) based adaptive predictive control, thus the mass center control with slow response transforms into trajectory angle control with fast response and high precision. On the basis of missile’s characteristics, generalized predictive control (GPC) is used in inner attitude loop, and an integral form of predictive control is adopted in outter trajectory loop. Effective transformation from mass center command to trajectory reference has achieved to realize high precision tracking. This method realizes the integration of attitude reference signal with guidance command, and that of attitude control with mass center control. It can reduce precision requirements on aerodynamic data and the control parameters can be easily selected. The numerical simulations demonstrate its effectiveness. Finally, some further academic directions are presented.
Keywords： cruise missile adaptive control model based predictive control robustness
The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System
Zhang Hongwei,Wu Aiguo,Sheng Tao
Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 58-62
A VAV system can be treated as a multi-agent system. In this paper, a multi-agent-based distributed intelligent control method is presented to solve the problem of concordance and decoupling in the VAV system. A simulation program of VAV system is set up for control analysis. Through a simulation, this control method has been proved to be satisfactory.
Keywords： VAV agent multi-agent system distributed intelligent control
Double access control model of web service based ondistributed simulation system
Chen Xueqin,Wu Huizhong,Zhu Yaoqin
Strategic Study of CAE 2009, Volume 11, Issue 8, Pages 72-78
As web service is taken up to develop distributed simulation system increasingly, the separation between functions and resources is obvious. This exposes many simulation resources to the wide area network, which are difficult for traditional and single access control models to deal with. A double access control based on attributes is proposed to achieve the access control of application function and simulation resources. The process flow of the access control is described in detail. Also, the model is realized and applied in the prototype of simulation based on acquisition system. The performance of resource access control realized on XACML is analyzed and tested, which proves the feasibility of the model.
Keywords： Web service security double access control distributed simulation system
Identification of Time-delay Systems and Correction of NARMA Model
Wng Dongqing
Strategic Study of CAE 2006, Volume 8, Issue 2, Pages 39-43
The paper introduces complemental explanation and analysis of existing time-delay identification scheme of nonlinear systems; meanwhile, points out the impropriety of NARMA model correction strategy for time-delay system^. The neural networks predictive control of time-delay system is taken as an example to present the correct NARMA model correction methods. Simulation results verify that the advanced correction methods can obtain good control performance and anti-disturbance capability.
Keywords： identification NARMA model neural network predictive control
The enlightenment of distributed energy in foreign countries to China
Du Caicai
Strategic Study of CAE 2015, Volume 17, Issue 3, Pages 84-87
At present, China is vigorously promoting the development of distributed energy, in the background, learning from foreign experience in the development of distributed energy can contribute to the development of distributed energy in China. The paper reviews goals, practice and related policies of distributed energy development in the United States, Germany and Japan, respectively. Then the paper summarizes five enlightenments: the establishment of rules; the set of goals; the reform of power system; the establishment of grid standards; the establishment of economy prompting policies.
Keywords： distributed energy； foreign countries； enlightenment
Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes Research Articles
Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000034
Keywords： Multi-agent systems Distributed event-triggered control Containment control Heterogeneous nonlinear systems Zeno behavior
Matrix-valued distributed stochastic optimization with constraints
夏子聪,刘洋,卢文联,桂卫华
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1239-1252 doi: 10.1631/FITEE.2200381
Keywords： Distributed optimization Matrix-valued optimization Stochastic optimization Penalty method Gossip model
Remarks on Distributed Energy System
Song Zhiping
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 78-84
The emergence of distributed energy system is a matter of great significance relating to implementation of sustainable strategy. As proposed by the author, distributed energy system(DES)is defined as an electric power total system compatible with environment, sited in or in the vicinity of the consumer center area without bulk and/or remote power transmission. The DES concept allows people to build and operate energy system on total energy basis and thus facilitates demand side management as well as a more intelligent use of energy. It is considered essential for fossil fueled DES that energy is utilized in a cascade way matching the energy quality supplied and needed. DES also opens the most effective way of implementation of Combined Heat & Power as well as multi-generation. While the preferable choice of primary energy might be the clean fuel such as natural gas, but from the long-term point of view, the clean coal technology should not be excluded from the DES category. Although there is a great deal of interest in micro-turbines at the moment, combustion engines still have their tremendous potential for DES application.
Keywords： distributed energy system sustainable strategy Combined Heat & Power multi-generation
Strategies and Principles of Distributed Machine Learning on Big Data Review
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Engineering 2016, Volume 2, Issue 2, Pages 179-195 doi: 10.1016/J.ENG.2016.02.008
The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as high-dimensional latent features, intermediate representations, and decision functions) thereupon. In order to run ML algorithms at such scales, on a distributed cluster with tens to thousands of machines, it is often the case that significant engineering efforts are required—and one might fairly ask whether such engineering truly falls within the domain of ML research. Taking the view that “big” ML systems can benefit greatly from ML-rooted statistical and algorithmic insights—and that ML researchers should therefore not shy away from such systems design—we discuss a series of principles and strategies distilled from our recent efforts on industrial-scale ML solutions. These principles and strategies span a continuum from application, to engineering, and to theoretical research and development of big ML systems and architectures, with the goal of understanding how to make them efficient, generally applicable, and supported with convergence and scaling guarantees. They concern four key questions that traditionally receive little attention in ML research: How can an ML program be distributed over a cluster? How can ML computation be bridged with inter-machine communication? How can such communication be performed? What should be communicated between machines? By exposing underlying statistical and algorithmic characteristics unique to ML programs but not typically seen in traditional computer programs, and by dissecting successful cases to reveal how we have harnessed these principles to design and develop both high-performance distributed ML software as well as general-purpose ML frameworks, we present opportunities for ML researchers and practitioners to further shape and enlarge the area that lies between ML and systems.
Keywords： Machine learning Artificial intelligence big data Big model Distributed systems Principles Theory Data-parallelism Model-parallelism
Model of a Distributed Database Server With Redundant Structure and Its Load Balance
Tian Junfeng,Liu Yuling,Du Ruizhong
Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 35-42
The technology of redundant services has improved the system availability, but also poses new challenges to the distributed system configuration management. This paper introduces the model of structure and work for a distributed database server system, and discussions are focused on its redundancy relations, model of load balancing based on mobile agent and performance analysis.
Keywords： distributed database redundancy load balance mobile agent performance analysis
Pegasus: a distributed and load-balancing fingerprint identification system Article
Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8, Pages 766-780 doi: 10.1631/FITEE.1500487
Keywords： Distributed fingerprint identification Distributed MongoDB Load balancing
A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration Research Articles
Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1463-1476 doi: 10.1631/FITEE.2000615
Keywords： 分布式优化；高性能算法；多智能体系统；机器学习问题；随机梯度
Research on the distributed power supply system of the Three Gorges floaters
Li Nianjun
Strategic Study of CAE 2010, Volume 12, Issue 6, Pages 99-103
The Long River floater is an important threat to the operation security of the Three Gorges ydropower station. This passage is based on the investigation and analysis of the Three Gorges floaters'amount and character, which proposes an ecological power systematic route of the Three Gorges floaters, aking the floaters' power generation as its major route, the treatment of contamination and the eclaim of resources as its two side routes. It can provide more reliable, cleaner high quality power ervice for the clients through the usage of distributed power technology system. The result of this esearch shows that the complete usage of the Three Gorges floaters for the combined supply of cold nd thermoelectricity can realize the treatment of pollution in the Three Gorges reservoir area, eanwhile, the usage of the Three Gorges floaters as resources, the distributed power supply system an deal with 4.7×104~9.5×104 t of floaters annually, which can save the power as the same amount of .3×104~3.6×104 t of standard coal, and the capital investment recovery period for this project asts for 4.5~8 years, which has favorable technology and economic performance.
Keywords： the Three Gorge floaters pollution distributed power supply
Title Author Date Type Operation
Robust distributed model predictive consensus of discrete-time multi-agent systems: a self-triggered approach
Jiaqi Li, Qingling Wang, Yanxu Su, Changyin Sun,jiaqil2018@seu.edu.cn,qlwang@seu.edu.cn,yanxu.su@seu.edu.cn,cysun@seu.edu.cn
Journal Article
Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles
Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN
Journal Article
High Precision Adaptive Predictive Control for Cruise Missile
Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming
Journal Article
The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System
Zhang Hongwei,Wu Aiguo,Sheng Tao
Journal Article
Double access control model of web service based ondistributed simulation system
Chen Xueqin,Wu Huizhong,Zhu Yaoqin
Journal Article
Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes
Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn
Journal Article
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Journal Article
Model of a Distributed Database Server With Redundant Structure and Its Load Balance
Tian Junfeng,Liu Yuling,Du Ruizhong
Journal Article
Pegasus: a distributed and load-balancing fingerprint identification system
Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU
Journal Article
A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration
Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn
Journal Article
京公网安备 11010502051620号
