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Synchronisation of complex dynamical networks with additive stochastic time-varying delays

International Journal of Systems Science 2016年第5期47卷 1221-1229页

作者： Yi, Jing-Wen Wang, Yan-Wu Xiao, Jiang-Wen Huang, Yuehua School of Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China College of Electrical Engineering and Information Science China Three Gorges University Yichang China

In this letter, a class of complex dynamical networks with additive stochastic time-varying delays is investigated. Two kinds of delays in complex dynamical networks are taken into consideration, one is called the nodes-induced delay in this paper, and the other is the network-induced delay. Both of the delays are assumed to obey different stochastic distributions. By utilising a novel Lyapunov-Krasovskii functional and stochastic analysis techniques, a sufficient criterion is obtained in the form of linear matrix inequalities to ensure the synchronisation of the complex dynamical networks. Finally, a numerical example is given to illustrate the feasibility and effectiveness of the proposed method. © 2014 Taylor & Francis.

关键词： Synchronization

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State estimation with quantized innovations in wireless sensor networks: Gaussian mixture estimator and posterior Cramér–Rao lower bound

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Chinese Journal of Aeronautics 2015年第6期28卷 1735-1746页

作者： Zhang Zhi Li Jianxun Liu Liu Liu Zhaolei Han Shan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Nanjing Research Institute of Electronics Technology Engineering Research Center of Wideband Wireless Communication Technology Ministry of EducationNanjing University of Posts and Telecommunications

Since the features of low energy consumption and limited power supply are very impor- tant for wireless sensor networks （WSNs）, the problems of distributed state estimation with quan- tized innovations are investigated in this paper. In the first place, the assumptions of prior and posterior probability density function （PDF） with quantized innovations in the previous papers are analyzed. After that, an innovative Gaussian mixture estimator is proposed. On this basis, this paper presents a Gaussian mixture state estimation algorithm based on quantized innovations for WSNs. In order to evaluate and compare the performance of this kind of state estimation algo- rithms for WSNs, the posterior Cram6r-Rao lower bound （CRLB） with quantized innovations is put forward. Performance analysis and simulations show that the proposed Gaussian mixture state estimation algorithm is efficient than the others under the same number of quantization levels and the performance of these algorithms can be benchmarked by the theoretical lower bound.

关键词： Posterior Cramer-Rao lower bounds Quantiation State estimation Target tracking Wireless sensor network

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Iterative learning predictive control for urban drainage systems 34

Iterative learning predictive control for urban drainage sys...

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第三十四届中国控制会议

作者： CUI Yiqun JIN Mengke LI Dewei XI Yugeng CEN Lihui Department of Automation Shanghai Jiao Tong UniversityShanghai Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Automation Science and Technology School of Information Science and EngineeringCentral South University

ISBN: (纸本)9781467374439

Urban drainage system is important for a modern city. This paper considers the control problem of an urban drainage system when a storm happens. By analyzing a storm, we see that the procedure of every storm is similar and its approximate procedure can be divided into three phases according to the change trend of rainfall. Therefore, we introduce the iterative learning control(ILC) into the urban drainage system and present a method of ILC based model predictive control(MPC). A 2D model based on a simpli ed model of drainage system is adopted. The procedure of a storm is divided into three phases and the ILC based MPC is designed for each phase by regarding it as a similar batch process. The handle of different length of phases is also considered. Since the learning based on the historic results is utilized, the proposed control method can improve the control result storm by storm. The numerical examples verify the effectiveness of the proposed design.

关键词： Predictive control,Learning control,Urban Drainage System

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Robust fault tolerant manoeuvring and rudder control of marine vehicles with state saturation

Robust fault tolerant manoeuvring and rudder control of mari...

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IEEE International Conference on industrial technology (ICIT)

作者： Xiaozheng Jin Qiuhong Liu Yu Kang Jiahu Qin School of Electrical Engineering and Automation HeFei University of Technology HeFei AnHui China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Department of Automation University of Science and Technology of China Hefei China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467380768

In this paper, the problem of rudder-roll damping control for a class of cruise keeping ships subject to both actuator fault and state saturation is investigated. A manoeuvring and rudder control model of marine vessels is firstly reviewed based on the existing literature. Actuator faults which including partial loss of rudder effectiveness and actuator-bias faults are considered in the model. Then a switching control strategy is developed to compensate for the actuator faults and to guarantee the stability of the rudder-roll damping control system. Moreover, some relationship regarding state saturation bounds, actuator fault limits and control parameters are analyzed in this paper. Finally, simulation results are given to illustrate the proposed procedures and their effectiveness.

关键词： Actuators Vehicles Damping Mathematical model Marine vehicles Vehicle dynamics

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Guest Editorial for Special Issue on Cyber-Physical Systems

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IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 233-234页

作者： Youxian Sun Xinping Guan Jiming Chen Yilin Mo Zhejiang University the Chinese Academy of Engineering the Institute of Industrial Process Control and the National Engineering Research Center of Industrial Automation Zhejiang University Department of Automation Shanghai Jiao Tong University University Research Management Office Shanghai Jiao Tong University the Key Laboratory of Systems Control and Information Processing Ministry of Education of China the prestigious Innovative Research Team of the National Natural Science Foundation of China(NSFC) Department of Control Science and Engineering group of Networked Sensing and Control in the State Key laboratory of Industrial Control Technology Institute of Industrial Process Control at Zhejiang University the School of Electrical and Electronic Engineering at Nanyang Technological University

Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life

关键词： for WSAN Guest Editorial for Special Issue on Cyber-Physical Systems of into on WSN is

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A Sophisticated RMPC Design for LPV Systems based on the mixed multi-step feedback control 34

A Sophisticated RMPC Design for LPV Systems based on the mix...

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第三十四届中国控制会议

作者： ZHENG Pengyuan LI Dewei XI Yugeng LI Xiaoli College of Automation Engineering Shanghai University of Electric PowerShanghai Engineering Research Center of Intelligent Management and Control for Power Process Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing Ministry of Education School of Information Science and Technology Donghua University

ISBN: (纸本)9781467374439

This paper studies a sophisticated robust model predictive control(RMPC) design for linear parameter varying(LPV)systems with the varying parameter unmeasurable. Based on a mixed multi-step feedback control, a sophisticated control design which utilizes both multi-step control sets and parameter-dependent feedback control is developed to introduce more freedom and thus reduces the conservativeness. The proposed method achieves good control performance with guaranteed robust and stability properties, which is verified by simulation examples.

关键词： Linear parameter varying systems,Robust model predictive control,Parameter-dependent feedback control,Mixed multi-step feedback control,Linear matrix inequalities

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Picture array generation using flat splicing operation

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Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3568-3577页

作者： Pan, Linqiang Nagar, Atulya K. Subramanian, K.G. Song, Bosheng School of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou Henan450002 China Department of Mathematics and Computer Science Faculty of Science Liverpool Hope University LiverpoolL16 9JD United Kingdom Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China

The operation of splicing on words was introduced by Tom Head while proposing a theoretical model of DNA recombination. Subsequent investigations on splicing on linear and circular strings of symbols have resulted in a number of theoretical properties. A different kind of splicing on two words, referred to as flat splicing, has been considered recently. This operation is extended to flat splicing on picture arrays, thus defining a new model of generation of digitized pictures, which is called as array flat splicing system (AFS). Results on the generative power of AFS in comparison with certain well-known picture array defining models and certain non-closure results are obtained. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Nanoscience

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A Target Tracking Method Based On Tangential and Normal Acceleration Variable-Structure Multiple Model

A Target Tracking Method Based On Tangential and Normal Acce...

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第三十四届中国控制会议

作者： Huang Dayu Qiu Jier Wu Shaofeng Cai Yunze Science and Technology on Avionics Integration Laboratory Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781467374439

Considered the maneuvering target motion characteristics, a motion model according to the decomposition of the acceleration is investigated. Compared with traditional model set, this model complies with the need of variable-structure multiple model(VSMM) to model set. In this paper, we present a tangential and normal acceleration VSMM target tracking algorithm with the advantage of active digraph switching algorithm. Simulation results show that the performance of the algorithm is better than that of traditional IMM algorithm.

关键词： Variable-Structure Multiple Model,Target Tracking,Tangential and Normal Acceleration

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Social Manufacturing Development with Sino-Finnish Innovation Cooperation

Social Manufacturing Development with Sino-Finnish Innovatio...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Jian Liu Gang Xiong Xiuqin Shang Timo R.Nyberg Yiming Wang Tongkai Ji The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Innovation is changing the world every day by offering new technical solutions for the society, and the technology development powered by innovation has been changing the operation and structure of traditional manufacturing. Social manufacturing is the new trend of manufacturing development, especially in the field of apparel industry. Social manufacturing can create opportunities for customers to participate in the produce process of tailoring, and to make more personalizing clothes, which will also benefit for the related companies' brand making process. With the assistance of internet technology and industry globalization, we can establish several modes about the trend of social manufacturing and new related technology, social manufacturing can also prompt the international division of labor by reducing the producing costs and enlarging the market capacity, we will analyze the advance of Sino-Finland cooperation in the field of innovation and apparel industry, the international cooperation in manufacturing industry will benefit both customers and industry revolution with the assistance of social manufacturing.

关键词： social manufacturing innovation apparel industry international cooperation

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A target tracking method based on tangential and normal acceleration variable-structure multiple model 34

A target tracking method based on tangential and normal acce...

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34th Chinese control Conference, CCC 2015

作者： Dayu, Huang Jier, Qiu Shaofeng, Wu Yunze, Cai Science and Technology on Avionics Integration Laboratory Shanghai China Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9789881563897

Considered the maneuvering target motion characteristics, a motion model according to the decomposition of the acceleration is investigated. Compared with traditional model set, this model complies with the need of variable-structure multiple model (VSMM) to model set. In this paper, we present a tangential and normal acceleration VSMM target tracking algorithm with the advantage of active digraph switching algorithm. Simulation results show that the performance of the algorithm is better than that of traditional IMM algorithm. © 2015 Technical Committee on control Theory, Chinese Association of automation.

关键词： Tangential and Normal Acceleration Target Tracking Variable-Structure Multiple Model

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