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arXiv 2017年

作者： Zhang, Jianzhong Zhang, Mingtao Zhang, Mingjiang Yi, L.I.U. Feng, Changkun Wang, Yahui Wang, Yuncai Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China Institute of Optoelectronic Engineering College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

We propose and experimentally demonstrate a chaotic Brillouin optical correlation-domain analysis (BOCDA) system for distributed fiber sensing. The utilization of the chaotic laser with low coherent state ensures high spatial resolution. The experimental results demonstrate a 3.92-cm spatial resolution over a 906-m measurement range. The uncertainty in the measurement of the local Brillouin frequency shift is ＋ 1.2 MHz. The measurement signal-to-noise ratio is given, which is agreement with the theoretical value. © 2017 Optical Society of America Copyright © 2017, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Self-alignment for strapdown INS using real-time adaptive filter 7

Self-alignment for strapdown INS using real-time adaptive fi...

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7th IEEE Chinese Guidance, Navigation and control Conference, CGNCC 2016

作者： Jian, Zhao Fu-Jun, Pei Hong-Yun, Liu Beijing Key Laboratory of Computational Intelligence and Intelligent System School of Electronic Information and Control Engineering Beijing University of Technology 100124 China

ISBN: (纸本)9781467383189

As it is difficult to get an accurate mathematical noise model under various dynamic interference conditions, Strap-down Inertial Navigation system (SINS) was difficult to realize self-alignment. Although the fuzzy adaptive Kalman filter can be used to realize the SINS self-alignment, the algorithm complexity is high and the error term is unstable. To solve this problem, a novel self-alignment method using real-time adaptive filter was developed in this paper. This method is based on the theory of fuzzy adaptive adjustment and used the filter stability as the criterion. The exponential function was used to replace the fuzzy inference calculation, which eliminated the complex process of fuzzy, fuzzy inference and de-fuzzy. The stability and accuracy of the adaptive filter was also improved. Finally, the simulation process was used to test the algorithm of this method, and the results demonstrated that the self-alignment using real-time adaptive filter method reduced the complexity of the algorithm and had better stability and alignment accuracy. © 2016 IEEE.

关键词： Adaptive filters

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An online state and parameter estimation of dynamic state space model of high speed train

International Journal of Control and Automation

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International Journal of control and Automation 2016年第9期9卷 51-62页

作者： Xie, Guo Zhang, Dan Hei, Xinhong Qian, Fucai Takahashi, Sei Nakamura, Hideo Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an Shaanxi710048 China College of Science and Technology Nihon University 7-24-1 Narashinodai Funabashi Chiba274-8501 Japan

In this paper, the state space model of high speed train is established to describe its nonlinear dynamic characteristics, whose parameters are disturbed by noise with an arbitrary distribution, and an online state and parameter identification method is proposed based on a parameters set by employing Bayesian theory and Particle Filter (PF). Firstly, the priori probabilities of all of the possible parameters are set to be equal, and the predicted states with different parameters are estimated using PF. Then the posterior probabilities of the parameters are updated by analyzing the characteristic of the measurement noise using Bayesian theory. Finally, the system sate and parameter are estimated by weighted summing all of the parameters and predicted states. The simulation results indicate that the proposed method can estimate the states and parameters of high speed train online and adaptively. © 2016 SERSC.

关键词： State space methods

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Pickup Manipulator Design and Its Kinematics Simulation

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IOP Conference Series: Earth and Environmental Science 2018年第4期170卷

作者： Zhongdang Zhang Zhaoqiang Zhang Shitai Ma Haibo Zhou Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin 300384 China National Demonstration Center for Experimental Mechanical and electrical Engineering Education (Tianjin University of Technology) Tianjin 300384 China

In order to improve the flexibility of the pickup manipulator and solve the problem of picking up small sports balls in training ground such as golfing, tennis, and table tennis, a 5-DOF pickup manipulator structure is designed. According to the pickup task requirements of the manipulator, through theoretical calculations, the 86HS series stepping motor is selected as the driving motors of the front end joints. Based on this, the stepping motor control system is designed to realize the closed-loop control of the manipulator. Then the manipulator model is built using D-H method, the inverse kinematics solution is calculated, and the analysis of kinematic theory is conducted. Finally, the targeted pickup point is selected to carry out case simulation analysis of the manipulator, the motion law of the manipulator is verified to be reasonable and the task of picking up small sports balls is completed.

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Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

Interval Reliability Assessment of Power System under Episte...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Bolun WANG Yong WANG Ying DING Ming LI Cong ZHANG Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid of China Technology College State Grid Shan Dong Electric Power Research Institute Shandong Zibo Power Supply Company

At present, reliability assessment plays an important role in power systems. When the component failure probabilities are interval valued, common methods fail to achieve reasonable interval reliability assessment result of power systems. In this paper a novel approach based on the belief universal generating function(BUGF) is proposed to calculate the reliability indexes of power systems. Instead of giving a single-valued assessment result, a belief function and a plausibility function are exploited to calculate the lower and upper bounds of the loss of load probability(LOLP), the loss of load expectation(LOLE), the expected unsupplied load(EUL) and the expected unsupplied energy(EUE) in UGF, respectively. The proposed approach can track the correlation of the original data well and keep it to the end of the calculation. By using BUGF compared to other common methods to calculate the interval LOLP, LOLE, EUL, and EUE of IEEE-RTS 79, the results show the BUGF method can track the correlation of the original data well, and can get narrower and more accurate interval reliability indexes of the power generation system, which illustrates the effectiveness of the proposed approach.

关键词： Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

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Second-Order Consensus of Multi-agent systems via Periodically Intermittent Pinning control

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Circuits, systems, and Signal Processing 2016年第7期35卷 2413-2431页

作者： Wang, Xiaoling Su, Housheng Wang, Xiaofan Liu, Bo Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China College of Science North China University of Technology Beijing100144 China

In this paper, we investigate the leader-following consensus of second-order multi-agent systems with nonlinear dynamics and time delay by employing periodically intermittent pinning control. All member agents and the virtual leader share the same nonlinear dynamics relating to the velocity and delayed velocity information. Based on Lyapunov stability theory, we obtain a novel criterion that is independent of the time delay and control width to guarantee the second-order consensus of multi-agent systems with time delay and periodically intermittent controllers. Numerical simulations are presented to illustrate the theoretical results. © 2015, Springer Science+Business Media New York.

关键词： Time delay

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Structure Design for RBF Neural Network Based on Improved K-means Algorithm

Structure Design for RBF Neural Network Based on Improved K-...

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第28届中国控制与决策会议

作者： Sun Yuqing Qiao Junfei Han Honggui College of Electronic Information & Control Engineering Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781467397155

Aiming at the disadvantages of the traditional K-means clustering algorithm,a new algorithm based on density is proposed to remove the noises and outliers in this *** algorithm determines whether a point is a noise or not according to the density of the *** show that this algorithm can effectively eliminate the influence of the noises when the K-means algorithm searches cluster centers in the *** the subtractive clustering algorithm is used to initialize the clustering centers of the K-means algorithm,meanwhile the number of cluster centers is *** improved K-means algorithm is taken to optimize the structure of RBF neural network,and the results of experiments on the typical function approximation show that the proposed algorithm has the better approximation ability.

关键词： K-means algorithm Density Subtractive clustering algorithm RBF neural network

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Structure design for RBF neural network based on improved K-means algorithm 28

Structure design for RBF neural network based on improved K-...

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28th Chinese control and Decision Conference, CCDC 2016

作者： Yuqing, Sun Junfei, Qiao Honggui, Han College of Electronic Information and Control Engineering Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China

ISBN: (纸本)9781467397148

Aiming at the disadvantages of the traditional K-means clustering algorithm, a new algorithm based on density is proposed to remove the noises and outliers in this paper. This algorithm determines whether a point is a noise or not according to the density of the point. Experiments show that this algorithm can effectively eliminate the influence of the noises when the K-means algorithm searches cluster centers in the samples. Then the subtractive clustering algorithm is used to initialize the clustering centers of the K-means algorithm, meanwhile the number of cluster centers is gotten. The improved K-means algorithm is taken to optimize the structure of RBF neural network, and the results of experiments on the typical function approximation show that the proposed algorithm has the better approximation ability. © 2016 IEEE.

关键词： Density K-means algorithm RBF neural network Subtractive clustering algorithm

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Implementation of Music Playing WEB Site with Asychronous Visit Mode Based on Set-top Box

Implementation of Music Playing WEB Site with Asychronous Vi...

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2016联合国际信息技术、机械与电子工程国际会议

作者： Xie Weihua Wang Yongbing Information Engineering School Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing Key Laboratory of Modern Entertainment Technology

ISBN: (纸本)9781510830028

Network music is an important form that people listen to music now, in PC desktop system, browser with HTML5 and the multimedia plugin can imply very good online selection ways and listen to the program with beautify pages, but in the set-top box system, it is extremely different. In this paper, we use a network set-top box with embedded browser system to realize an asynchronous access mode of music website design, the system uses the JSE to achieve music file playback controls, at the same time, the online transcoding system, on the server side for transcoding to improve on the different types of music file playback compatibility, and with an asynchronous access pattern method, time-consuming part is transferred into the background, and the browser Ajax method for interactive prompting. The experimental results show that the system has better interactive performance with respect to the normal music website which is usually synchronized visit ways, and improve the user's listening and viewing experience.

关键词： set-top box music play asychronous visit mode online transcode web site

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Self adaptation of chimera states

arXiv

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arXiv 2018年

作者： Yao, Nan Huang, Zi-Gang Ren, Hai-Peng Grebogi, Celso Lai, Ying-Cheng Department of Applied Physics Xi’an University of Technology Xi’an710048 China School of Life Science and Technology Xi’an Jiao Tong University Xi’an710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Physics Arizona State University TempeAZ85287 United States

Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve their robustness? We uncover a self-adaptation behavior by which, upon a spatially localized perturbation, the coherent component of the chimera state spontaneously drifts to an optimal location as far away from the perturbation as possible, exposing only its incoherent component to the perturbation to minimize the disturbance. A systematic numerical analysis of the evolution of the spatiotemporal pattern of the chimera state towards the optimal stable state reveals an exponential relaxation process independent of the spatial location of the perturbation, implying that its effects can be modeled as restoring and damping forces in a mechanical system and enabling the articulation of a phenomenological model. Not only is the model able to reproduce the numerical results, it can also predict the trajectory of drifting. Our finding is striking as it reveals that, inherently, chimera states possess a kind of "intelligence" in achieving robustness through self adaptation. The behavior can be exploited for controlled generation of chimera states with their coherent component placed in any desired spatial region of the system. Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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