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Communications in Computer and information Science 2013年 355卷 342-350页

作者： Cen, Lihui Xi, Yugeng Li, Dewei Cen, Yigang Department of Control Engineering Central South University Changsha China Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiaotong University Shanghai China School of Computer and Information Technology Beijing Jiaotong University Beijing China

This paper proposed a boundary feedback control design for open-channel networks with trapezoidal cross sections by using a Riemann invariants approach. The open-channel network is well modeled by the nonlinear Saint-Venant equations. Based on the characteristic form in terms of Riemann invariants, the stabilizing boundary control is developed for a single canal. The stability condition and the boundary control design are subsequently generalized to open-channel networks composed by multireaches in cascade. The design of the boundary feedback control laws either for a single canal or for the cascaded networks is illustrated in a unified design framework. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Feedback control

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Repetitive Predictive control for systems Subject to Periodic Disturbance with Markov Jump Uncertainty

Repetitive Predictive Control for Systems Subject to Periodi...

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International Conference on control, Automation, Robotics & Vision

作者： Mengke Jin Jiwei Li Dewei Li Yugeng Xi Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781479952007

In the consideration of constraints, repetitive model predictive control is an effective method to track a periodic signal as well as reject a periodic disturbance. However, in practical systems, it is difficult to determine the period of the disturbance;meanwhile, too much information is needed for the design of repetitive controller, thus will make it difficult for the design of controller. In this paper, a system subject to periodic disturbance with Markov jump uncertainty is considered and a new method of repetitive model predictive control with Markov jump model has been introduced to reject the disturbance. The simulation demonstrates that the proposed method is effective.

关键词： periodic disturbance control systems Predictive control Markov jump Repetitive controllers Repetitive controller design Model predictive control

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New Method to Improve Dynamic Stiffness of Electro-hydraulic Servo systems

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Chinese Journal of Mechanical Engineering 2013年第5期26卷 997-1005页

作者： BAI Yanhong QUAN Long Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology School of Electronics Information Engineering Taiyuan University of Science and Technology

Most current researches working on improving stiffness focus on the application of control *** controller in closed-loop hydraulic control system takes effect only after the controlled position is deviated,so the control action is *** dynamic performance against force disturbance and dynamic load stiffness can’t be improved evidently by advanced control *** this paper,the elementary principle of maintaining piston position unchanged under sudden external force load change by charging additional oil is *** this basis,the conception of raising dynamic stiffness of electro hydraulic position servo system by flow feedforward compensation is put *** a scheme using double servo valves to realize flow feedforward compensation is presented,in which another fast response servo valve is added to the regular electro hydraulic servo system and specially utilized to compensate the compressed oil volume caused by load impact in *** two valves are arranged in parallel to control the cylinder ***,the model of flow compensation is derived,by which the product of the amplitude and width of the valve’s pulse command signal can be *** determination rules of the amplitude and width of pulse signal are concluded by analysis and *** the proposed scheme,simulations and experiments at different positions with different force changes are *** simulation and experimental results show that the system dynamic performance against load force impact is largely improved with decreased maximal dynamic position deviation and shortened settling *** is,system dynamic load stiffness is evidently *** paper proposes a new method which can effectively improve the dynamic stiffness of electro-hydraulic servo systems.

关键词： electro-hydraulic servo system flow feedforward compensation dynamic load stiffness double-valve actuation

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MULTI-TRACKING OF FIRST ORDER MULTI-AGENT NETWORKS VIA SELF-TRIGGERED control

MULTI-TRACKING OF FIRST ORDER MULTI-AGENT NETWORKS VIA SELF-...

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西南大学2014年全国博士生学术论坛(电子技术与信息科学领域)

作者： Guang-Song Han Zhi-Hong Guan Jie Chen Ding-Xin He Ming Chi College of Automation Huazhong University of Science and Technology Wuhan 430074 China and the Key Laboratory of Image Information Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education Wuhan 430074 China

A multi-tracking problem of multi-agent networks is investigated in this paper where multi-tracking refers to that the states of multiple agents in each subnetwork asymptotically converge to the same desired trajectory in the presence of information exchanges among *** multi-tracking of first order multi-agent networks with directed topologies was ***-triggered protocols were proposed along with triggering functions to solve the stationary multi-tracking and bounded dynamic *** self-triggered scheduling is obtained, and the system does not exhibit Zeno *** examples are provided to illustrate the effectiveness of the obtained criteria.

关键词： Multi-agent networks stationary multi-tracking bounded dynamic multi-tracking self-triggered control

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GEOLOCATION OF HJ-1C SATELLITE IMAGE USING ONE GCP

GEOLOCATION OF HJ-1C SATELLITE IMAGE USING ONE GCP

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IEEE International Geoscience and Remote Sensing Symposium

作者： Jiayin Liu Xiaolan Qiu Yuxin Hu Wen Hong Institute of Electronics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology on Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China National Key Laboratory of Microwave Imaging Technology Beijing China

HJ-1C satellite was launched in November 2012 as the first civil spaceborne SAR system of S band in China. Since the image geolocation is essential for the quantificational study of the system specifications of HJ-1C, the paper focuses on the geolocation of HJ-1C SAR image, including the systematic position accuracy of HJ-1C satellite image, and the higher position accuracy with GCPs (ground control point). In addition, a novel equivalent-range-doppler method is presented in this paper to geolocate HJ-1C satellite image using only one GCP.

关键词： Mathematical model Satellites Equations Synthetic aperture radar Accuracy Geology Spaceborne radar

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Performance Monitoring of the Data-driven Subspace Predictive control systems Based on Historical Objective Function Benchmark

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自动化学报 2013年第5期39卷 542-547页

作者：王陆李柠李少远 Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education of China

In this paper, a historical objective function benchmark is proposed to monitor the performance of data-driven subspace predictive control systems. A new criterion for selection of the historical data set can be used to monitor the controller0s performance, instead of using traditional methods based on prior knowledge. Under this monitoring framework, users can define their own index based on different demands and can also obtain the historical benchmark with a better sensitivity. Finally, a distillation column simulation example is used to illustrate the validity of the proposed algorithms.

关键词：预测控制系统性能监控数据驱动子空间历史基准监视控制器目标函数

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Data-driven Predictive control for the Industrial Processes with Multiphase and Transition

Data-driven Predictive Control for the Industrial Processes ...

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第25届中国控制与决策会议

作者： Hua Yang Shaoyuan Li College of Information Science and Engineering Ocean University of China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781467355339

Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven predictive control strategy with the consideration of the important multiphase feature. The method aims to feature the multiphase data and use the data to design the controller. First, the data is divided and weighted based on the multiple phases and transitions. Through the minimal image representation, the data-driven prediction of future trajectory can be obtained and thus the computation of dynamic optimization. In the proposed controller, data Hankel matrices is direct incorporated in the predictive control laws, without a model or an intermediate step to meet the given performance specifications. Finally, the proposed predictive controller is demonstrated on a multiphase process.

关键词： Multiphase predictive control data-driven

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A novel handoff decision algorithm in TD-LTE based train-ground communication system

A novel handoff decision algorithm in TD-LTE based train-gro...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Xiaomeng Shu Li Zhu Hongli Zhao Tao Tang School of Electrical and Information Engineering Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University

Communication Based Train control(CBTC)system is a kind of advanced train automatic control system that integrates radio communication and automation control *** happens frequently in CBTC train ground communication system,which may result in communication interrupt and long *** this paper,we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution(TD-LTE)based train-ground communication *** proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped *** Grey Verhulst model is used to predict the Reference Signal Receiving Power(RSRP)values from two Radio Remote Units(RRU).Compared with traditional Verhulst model,improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence *** handoff decision action is performed based on the predicted RSRP *** results show that the proposed handoff decision algorithm can decrease pingpong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.

关键词： A novel handoff decision algorithm in TD-LTE based train-ground communication system Verhulst LTE

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Sampling-based learning control for quantum discrimination and ensemble classification

Sampling-based learning control for quantum discrimination a...

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International Joint Conference on Neural Networks

作者： Chunlin Chen Daoyi Dong Bo Qi Ian R. Petersen Herschel Rabitz Department of Control and System Engineering Nanjing University School of Engineering and Information Technology University of New South Wales Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Department of Chemistry Princeton University

ISBN: (纸本)9781479914821

Quantum ensemble classification has significant applications in discrimination of atoms (or molecules), separation of isotopic molecules and quantum information extraction. In this paper, we recast quantum ensemble classification as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). Numerical results demonstrate the effectiveness of the proposed approach for the discrimination of two quantum systems and the binary classification of two-level quantum ensembles.

关键词： Ensemble classification Quantum discrimination Inhomogeneous ensembles Sampling-based learning control

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A novel handoff decision algorithm in TD-LTE based train-ground communication system

A novel handoff decision algorithm in TD-LTE based train-gro...

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International Conference on Intelligent Transportation

ISBN: (纸本)9781479960798

Communication Based Train control (CBTC) system is a kind of advanced train automatic control system that integrates radio communication and automation control technology. Handoff happens frequently in CBTC train ground communication system, which may result in communication interrupt and long latency. In this paper, we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution (TD-LTE) based train-ground communication system. The proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped environment. Improved Grey Verhulst model is used to predict the Reference Signal Receiving Power (RSRP) values from two Radio Remote Units (RRU). Compared with traditional Verhulst model, improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence prediction. The handoff decision action is performed based on the predicted RSRP values. Simulation results show that the proposed handoff decision algorithm can decrease ping-pong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.

关键词： Prediction algorithms Predictive models Rail transportation Handover Coaxial cables

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