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35th Chinese Control Conference, CCC 2016

作者： Song, Weixu Sun, Jian Chen, Jie School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9789881563910

In this paper, the problem of H∞filtering for networked singular systems with an event-triggered scheme is investigated. With a modified event generator, remote sensor evaluates the periodically sampled data and only transmits those violate a certain event-triggered condition, and thus reduces the communication burden. The filtering error system is converted into a time-delay system model which can be studied using the Lyapunov stability theory. Based on this model, sufficient criteria are derived to guarantee the filtering error system regular, impulse free and stable with a prescribed H∞performance. The design method of the filter is also considered. Finally, an example is exploited to illustrate the effectiveness of the proposed method. © 2016 TCCT.

关键词： Event-triggered communication H∞ filtering Network-induced delay Singular system

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Event-triggered High-gain Observer Design for Nonlinear systems

Event-triggered High-gain Observer Design for Nonlinear Syst...

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第35届中国控制会议

作者： Yuan Huang Junzheng Wang Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

In this work,an event-triggered high gain observer（ET-HGO） design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends on the triggering condition ***,in this work,for the high-gain observer considered,an event-triggered transmission strategy,which does not relies on the other system state but the output of the control system,is proposed such that the observation error is asymptotically ***,with mild restriction,the observation error is guaranteed to be bounded all the *** obtained theoretical results are evaluated through the numerical simulations.

关键词： High-gain observer event-triggered transmission state estimation

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A weighted-resampling based transfer learning algorithm

A weighted-resampling based transfer learning algorithm

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International Joint Conference on Neural Networks (IJCNN)

作者： Xiaobo Liu Zhentao Liu Guangjun Wang Zhihua Cai Harry Zhang School of Automation China University of Geosciences Wuhan China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Computer Science China University of Geosciences Wuhan China Faculty of Computer Science University of New Brunswick NB Canada

ISBN: (纸本)9781509061839

Transfer learning has attracted more and more attention, and many scholars proposed some useful strategies. Boosting is the main strategy for transfer learning. In boosting, resampling is preferred over reweighting, and it can be applied to any base learner. In this paper, we propose a weighted-resampling method for transfer learning, called TrResampling. Firstly, resampling is applied to the data with heaven weight in the source domain, and the resampled data is used with the target data as the training data to build a classifier. Then the TrAdaBoost algorithm is used to adjust the weights of source data and target data. We discuss Decision Tree, Naive Bayes, and SVM as the base learner in TrResampling, and choose the suitable for TrResampling. In order to illustrate the performance of the proposed algorithm, we compare TrResampling with the state-of-the-art algorithm TrAdaBoost and the base learner Decision Tree, experimental results on UCI data sets indicate that TrResampling is superior to TrAdaBoost and Decision Tree on many data sets.

关键词： Training data Boosting Machine learning algorithms Support vector machines Decision trees Training Electronic mail

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Toward Scalable Boson Sampling with Photon Loss

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Physical Review Letters 2018年第23期120卷 230502-230502页

作者： Hui Wang Wei Li Xiao Jiang Y.-M. He Y.-H. Li X. Ding M.-C. Chen J. Qin C.-Z. Peng C. Schneider M. Kamp W.-J. Zhang H. Li L.-X. You Z. Wang J. P. Dowling S. Höfling Chao-Yang Lu Jian-Wei Pan Shanghai Branch National Laboratory for Physical Sciences at Microscale University of Science and Technology of China Shanghai 201315 China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China CAS-Alibaba Quantum Computing Laboratory Shanghai 201315 China Technische Physik Physikalisches Instität and Wilhelm Conrad Röntgen-Center for Complex Material Systems Universitat Würzburg Am Hubland D-97074 Wüzburg Germany State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology (SIMIT) Chinese Academy of Sciences 865 Changning Road Shanghai 200050 China Hearne Institute for Theoretical Physics and Department of Physics and Astronomy Louisiana State University Baton Rouge Louisiana 70803 USA NYU-ECNU Institute of Physics at NYU Shanghai Shanghai 200062 China SUPA School of Physics and Astronomy University of St Andrews St Andrews KY16 9SS United Kingdom

Boson sampling is a well-defined task that is strongly believed to be intractable for classical computers, but can be efficiently solved by a specific quantum simulator. However, an outstanding problem for large-scale experimental boson sampling is the scalability. Here we report an experiment on boson sampling with photon loss, and demonstrate that boson sampling with a few photons lost can increase the sampling rate. Our experiment uses a quantum-dot-micropillar single-photon source demultiplexed into up to seven input ports of a 16×16 mode ultralow-loss photonic circuit, and we detect three-, four- and fivefold coincidence counts. We implement and validate lossy boson sampling with one and two photons lost, and obtain sampling rates of 187, 13.6, and 0.78 kHz for five-, six-, and seven-photon boson sampling with two photons lost, which is 9.4, 13.9, and 18.0 times faster than the standard boson sampling, respectively. Our experiment shows an approach to significantly enhance the sampling rate of multiphoton boson sampling.

关键词： Boson sampling Quantum computation Quantum information architectures & platforms Quantum optics Quantum simulation

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Adaptive Robust Dead-Zone Compensation Control of Electro-Hydraulic Servo systems with Load Disturbance Rejection

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Journal of systems Science & complexity 2015年第2期28卷 341-359页

作者： HE Yudong WANG Junzheng HAO Renjian Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

A backstepping method based adaptive robust dead-zone compensation controller is pro- posed for the electro-hydraulic servo systems （EHSSs） with unknown dead-zone and uncertain system parameters. Variable load is seen as a sum of a constant and a variable part. The constant part is regarded as a parameter of the system to be estimated real time. The variable part together with the friction are seen as disturbance so that a robust term in the controller can be adopted to reject them. Compared with the traditional dead-zone compensation method, a dead-zone compensator is incor- porated in the EH$S without constructing a dead-zone inverse. Combining backstepping method, an adaptive robust controller （ARC） with dead-zone compensation is formed. An easy-to-use ARC tuning method is also proposed after a further analysis of the ARC structure. Simulations show that the proposed method has a splendid tracking performance, all the uncertain parameters can be estimated, and the disturbance has been rejected while the dead-zone term is well estimated and compensated.

关键词： Adaptive robust control dead-zone servo systems tuning method. compensation disturbance rejection electro-hydraulic

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External consensus of networked multi-agent systems with nonlinear dynamics and random network delay

External consensus of networked multi-agent systems with non...

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Asian Control Conference

作者： Qi Lei Jia-Hui Li Guo-Ping Liu Min Wu School of Information Science and Engineering University of Central South University Changsha China School of Engineering University of South Wales Pontypridd U.K. School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781509015740;9781509015733

In this paper, the external consensus problem of networked multi-agent systems with fixed undirected topology, random network delay and nonlinear dynamics is considered. The unknown nonlinear dynamics existing in the systems can be described as RBF-ARX model. Besides, the random network delay can be compensated by introducing the prediction strategy. The RBF-ARX model is used as prediction model to design the output predictor, which is to generate the prediction sequence of control input and agent's output. Then, the designed selector chooses the proper value from the available sequences corresponding to the value of the network delay. Based on the mentioned above, a distributed external consensus control algorithm is proposed to make the considered systems with external reference input achieve consensus. Finally, an example is given to illustrate the validity of the proposed algorithm.

关键词： Delays Nonlinear dynamical systems Algorithm design and analysis Prediction algorithms Predictive models Network topology Radial basis function networks

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Finite-horizon H∞ control for discrete time-varying nonlinear systems under earliest deadline first schedule

Finite-horizon H∞ control for discrete time-varying nonline...

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Chinese Control Conference (CCC)

作者： Yuxuan Shen Zidong Wang Bo Shen Hongli Dong School of Information Science and Technology Donghua University Shanghai China Department of Computer Science Brunel University London Uxbridge Middlesex United Kingdom Institute of Complex Systems and Advanced Control Northeast Petroleum University Daqing China Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Daqing China

This paper is concerned with the finite-horizon H ∞ quantized control problem for a class of discrete time-varying nonlinear networked control systems with earliest deadline first (EDF) schedule. EDF schedule is employed in the channels both from sensor to controller and controller to actuator. Moreover, the measurement output signal and control signal are quantized by a logarithmic quantizer before they enter the controller and system, respectively. The main purpose of the problem addressed is to design a dynamical output-feedback controller such that the prespecified H ∞ performance of the system is guaranteed over a given finite time-horizon. To this end, a sufficient condition is firstly established for the existence of the desired output-feedback controller. Then, the controller parameters are characterized by solving a recursive linear matrix inequality. Finally, a numerical example is given to illustrate the effectiveness of the proposed control approach.

关键词： Schedules Quantization (signal) Time-varying systems Networked control systems Actuators Nonlinear systems

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A Navigation Map Building Algorithm using Refined RBPF-SLAM

A Navigation Map Building Algorithm using Refined RBPF-SLAM

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2016 IEEE Chinese Guidance, Navigation and Control Conference (IEEE CGNCC2016)

作者： Mengyin Fu Hao Zhu Yi Yang Meiling Wang Zhihong Deng State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781467383196

This paper proposes a map building algorithm for navigation task of autonomous vehicle.A local 2D grid map is designed to convey three types of information(free space,obstacle and unknown).A refined RBPF-SLAM algorithm is established to build a large scale,accurate navigation *** obstacle information is excluded in the final map,which provides better performance in vehicle's online *** sets of experiments are carried out in two driving conditions,with one in urban traffic environment and the other in unstructured *** mapping and localization result testify the effectiveness of our algorithm.

关键词： frame A Navigation Map Building Algorithm using Refined RBPF-SLAM

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A new teaching system for arc welding robots with auxiliary path point generation module

A new teaching system for arc welding robots with auxiliary ...

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Chinese Control Conference (CCC)

作者： Jing Li Fengshui Jing En Li Key Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing China Key Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781509009107

Arc welding robots are widely used in factories. Most robots require highly-skilled workers doing time-consuming and tedious programming work. The proposed new teaching system in this paper is aiming to simplify the programming process by adding a path point generation module, which depends on a RGB-D sensor to obtain the point cloud and generate path points for space curve seam. The advantage of this system is simplifying the teaching process, which is a step forward of realizing task-level programming. The system is used on an ordinary arc welding robot while not changing it, working as a plug-and-play type solution for easy programming. In this paper, the structure of this teaching system is described. Software architecture of important modules in the system is presented in details. An example is showed that how this system is working.

关键词： Welding Robot sensing systems Education Computers Robot kinematics Three-dimensional displays

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State Estimation for BAM Neural Networks with Mixed Time Delays

State Estimation for BAM Neural Networks with Mixed Time Del...

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IEEE International Conference on Automation Science and Engineering

作者： Guoquan Liu Chaomin Luo Jianlong Qiu Xianxi Luo Jiakai Ding Jiangxi Province Engineering University of Technology Nanchang China Department of Electrical and Computer Engineering University of Detroit Mercy Michigan USA School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong (Linyi University) Linyi Shandong Province China Jiangxi Province Engineering East China University of Technology Nanchang China School of mechanical and electronic engineering East China University of Technology Nanchang China

This paper is concerned with the state estimation problem of BAM neural networks with mixed time delays. By constructing a suitable Lyapunov-Krasovskii functional (LKF), a new criterion is obtained so that the BAM neural networks error system is asymptotically stable. A simulation example is given to demonstrate the effectiveness of the proposed method.

关键词： LKF concerned estimation

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