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第36届中国控制会议

作者： Bing-Chang Wang Yuan-Hua Ni Dan-Dan Pang Bingchang Wang is with School of Control Science and Engineering Shandong University College of Computer and Control Engineering Nankai University School of Information and Electrical Engineering Shandong Jianzhu University

ISBN: (纸本)9781538629185

This paper studies mean field games for multiagent systems with multiplicative noises. By solving an auxiliary limiting optimal control problems subject to consistent mean field approximations, a set of decentralized strategies is obtained and further shown to be an asymptotical Nash equilibrium. Then, we apply the result to the consensus problem for the model of single integrators with multiplicative noises. It is shown that under the proposed strategies all the agents achieve asymptotic average consensus in the mean square sense.

关键词： mean field game multiplicative noise decentralized strategy asymptotic average consensus

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A New Distributed Method for Clock Synchronization in Sensor Networks 29

A New Distributed Method for Clock Synchronization in Sensor...

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第29届中国控制与决策会议

作者： Yong Qiao Wenlun Yang Minyue Fu State Key Laboratory of Industrial Control Technology and School of Control Science and Engineering Zhejiang University School of Electrical Engineering and Computer Science University of Newcastle

ISBN: (纸本)9781509046584

In this paper,we present a new distributed protocol to achieve the synchronization of time variations and initial times *** protocol combines the design methods of controller and estimator to obtain more precise synchronization with higher robustness against noisy inputs mainly generated by crystal oscillators of ***,the control input is ensured bounded while achieving the clock synchronization,which makes our protocol more applicable in *** implementation of the protocol allows sampling in the receiving end to be event-triggered with a specifically designed communication *** simulations are shown to illustrate the performance of the protocol.

关键词： Distributed Algorithm Clock Synchronization Consensus control Sensor Networks

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Constrained Observer Based Iterative Learning control Design in the Repetitive Process Setting

Constrained Observer Based Iterative Learning Control Design...

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IEEE Annual Conference on Decision and control

作者： Julia Emelianova Pavel Pakshin Krzysztof Galkowski Eric Rogers Arzamas Polytechnic Institute of R.E. Alekseev Nizhny Novgorod State Technical University Arzamas Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Iterative learning control is a well established method applicable to systems that repeat the same finite duration task over and over again. The mechanism is to use information from the previous repetition to update the control input for the next repetition and thereby sequentially improve performance. Given that it directly regulates the control input, there may be cases where the levels of control action breach the safe operating range of the actuators used. This paper develops a new design for the case when a limit is placed on the control action allowed. The analysis represents the dynamics in a 2D systems setting and uses the stability theory for the particular case of repetitive processes as a basis for analysis and design.

关键词： Two dimensional displays Robots Stability analysis Observers Feedback control Iterative learning control Task analysis

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Prediction-based Optimal Distributed Filtering with Communication Delay over Sensor Networks

Prediction-based Optimal Distributed Filtering with Communic...

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第三十八届中国控制会议

作者： Jun Hu Guo-Ping Liu Zidong Wang Hongxu Zhang School of Engineering University of South Wales Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and Technology CTGT center Harbin Institute of Technology Department of Computer Science Brunel University London School of Measurement and Communication Harbin University of Science and Technology

In this paper, the prediction-based distributed filtering problem is discussed for a class of time-varying stochastic systems with communication delay and different types of noises over sensor networks. The communication delay is characterized when the state estimations are transmitted between adjacent sensor nodes. In order to compensate the effects induced by the communication delay, the prediction-based idea is employed and then the active compensation estimation is provided when designing the time-varying distributed filter. In particular, both the prediction-based state estimation and its own innovation measurements are utilized in terms of the concerned sensor networks under given topological structure. Subsequently, a locally minimum upper bound of the filtering error covariance is given by determining the filter gain at each time step. Finally, the validity and advantages of the presented prediction-based distributed filtering method are illustrated by some simulations.

关键词： Time-varying stochastic systems Sensor networks Optimal distributed filtering Communication delay Prediction compensation

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Modeling and Simulation of Double Capacity Tank Level control System Based on Linear Graph Theory

Modeling and Simulation of Double Capacity Tank Level Contro...

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第37届中国控制会议

作者： Hui Leng Yue Zhang North China Electric Power School of Control and Computer Engineering Hebei Power Generation Process Simulation and Optimization Control Engineering Technology Research Center

The double-capacity tank liquid level system has the characteristics of inertia,time delay and *** practical industrial objects can be abstracted as the tank model to describe their working *** techniques are widely used to assist in representing dynamic system models,while linear graphs represent the internal relationships between components in a *** to the linear graph modeling theory,this paper takes the double-capacity water tank as the research object,and establishes the mathematical model of the tank liquid level control *** simulate the system on this basis,and the transfer function of the system is obtained based on the state space equation,the correctness of the transfer function is verified by the equivalent impedance *** simulation results show that the modeling of linear graph theory can ensure that the model can better reflect the true characteristics of the system.

关键词： Double Capacity Tank Linear Graph Theory State Space Equation Equivalent Impedance Method

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Intent Pattern Recognition of Lower-limb Motion Based on Mechanical Sensors

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 651-660页

作者： Zuojun Liu Wei Lin Yanli Geng Peng Yang School of Control Science and Engineering Hebei University of Technology Engineering Research Center of Intelligent Rehabilitation Ministry of Education Department of Electrical Engineering and Computer Science Case Western Reserve University Hebei University of Technology

Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we develop a pure mechanical sensor architecture for intent pattern recognition of lower-limb motion. The sensor system is composed of an accelerometer, a gyroscope mounted on the prosthetic socket, and two pressure sensors mounted under the sole. To compensate the delay in the control of prosthesis, the signals in the stance phase are used to predict the terrain and speed in the swing phase. Specifically, the intent pattern recognizer utilizes intraclass correlation coefficient(ICC) according to the Cartesian product of walking speed and terrain. Moreover, the sensor data are fused via DempsterShafer's theory. And hidden Markov model(HMM) is used to recognize the realtime motion state with the reference of the prior step. The proposed method can infer the prosthesis user's intent of walking on different terrain, which includes level ground,stair ascent, stair descent, up and down ramp. The experiments demonstrate that the intent pattern recognizer is capable of identifying five typical terrain-modes with the rate of 95.8%. The outcome of this investigation is expected to substantially improve the control performance of powered above-knee prosthesis.

关键词： Above-knee prosthesis hidden Markov model(HMM) intra-class correlation coefficient(ICC) intent pattern recognition sensor fusion

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Sub-pixel X-marker detection by Hough transform

Sub-pixel X-marker detection by Hough transform

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Iranian Conference of Biomedical engineering (ICBME)

作者： Ali Yazdani Hojjat Aalizadeh Farshid Karimi Saeed Solouki Hamid Soltanian-Zadeh School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence(CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781538679531;9781538679524

High precision center detection of X-markers is required in many applications such as navigation surgery systems and camera calibration. Hough transform is a preferable tool for extracting intersecting lines in an image, which leads to center detection. In this paper, we detect X-marker centers by the sub-pixel precision, using Hough transform. Switching to Hough space helps us to apply processes like thresholding, filtering and weighted averaging on coordinates. The algorithm involves two parameters `Hough Size' and `Filter Size' required to be adjusted for best performance of the algorithm. A dataset of 900 images is used and best performance is achieved by values of 180 and 23 for the above parameters, respectively. Using this setting, 90.8% of the centers are detected successfully by the sub-pixel precision. The average distance between detected centers and reference centers is 0.51 pixels. This suggests that the proposed algorithm has the potential to be utilized for sub-pixel marker detection.

关键词： Image edge detection Transforms Feature extraction Cameras Biomedical engineering Calibration Filtering algorithms

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A general and simple method for evaluating the electrical transport performance of graphene by the van der Pauw–Hall measurement

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Science Bulletin 2018年第22期63卷 1521-1526页

作者： Fangzhu Qing Yang Shu Linsen Qing Yuting Niu He Guo Shuyi Zhang Chunlin Liu Changqing Shen Wanli Zhang Samuel S.Mao Wenjuan Zhu Xuesong Li State Key Laboratory of Electronic Thin Films and Integrated Devices &School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 610054China Chengdu Institute of Biology Chinese Academy of SciencesChengdu 610041China National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of ChinaChengdu 610054China Institute of New Energy Shenzhen 518031China Department of Mechanical Engineering University of California at BerkeleyBerkeleyCA 94720USA Department of Electrical and Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA

Expected for many promising applications in the field of electronics and optoelectronics, a reliable method for the characterization of graphene electrical transport properties is desired to predict its device performance or provide feedback for its ***, the commonly used methods of extracting carrier mobility from graphene field effect transistor or Hall-bar is time consuming, expensive, and significantly affected by the device fabrication process other than graphene *** we reported a general and simple method to evaluate the electrical transport performance of graphene by the van der Pauw–Hall *** annealing graphene in vacuum to remove the adsorbed dopants and then exposing it in ambient surroundings, carrier mobility as a function of density can be measured with the increase of carrier density due to the dopant re-adsorption from the ***, the relationship between the carrier mobility and density can be simply fitted with a power equation to the first level approximation, with which any pair of measured carrier mobility and density can be normalized to an arbitrary carrier density for *** experimentally demonstrated the reliability of the method, which is much simpler than making devices and may promote the standard making for graphene characterization.

关键词： Graphene Van der Pauw Hall Chemical vapor deposition (CVD)

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Robust Energy-Efficient Beamforming in MISO Networks with Dynamic Energy Consumption Model

Robust Energy-Efficient Beamforming in MISO Networks with Dy...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Yang Lu Ke Xiong Lan Zhang Pingyi Fan Zhangdui Zhong School of Computer and Information Technology Beijing Jiaotong University Beijing China State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Electronic Engineering Tsinghua University Beijing China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

This paper studies the robust energy efficient beamforming design for MISO systems where only channel distribution information (CDI) is assumed to be available at the transmitter. To capture the general relationship between the data transmission and the energy consumption, the dynamic energy consumption model (DECN) is adopted. An optimization problem is formulated to maximize the system energy efficiency under the constraints of rate outage probability and total available power. The problem is difficult to tackle due to the fractional objective function and the information outage constraints. To solve it, the semidefinite relaxation (SDR) is applied at first and then, a solution approach based on the successive convex approximation (SCA) and the Dinklebach's methods is presented. It is proved that our proposed solution approach is able to converge to a stationary point of the formulated optimization problem. Numerical results demonstrate that DECN has a great impact on system EE. It is observed that there is a saturation point on the system EE in term of available power and the required power corresponding to the saturation point of EE highly depends on circuit power. Particularly, higher circuit power leads to a larger required power but a smaller maximal system EE.

关键词： Transmitters Receivers Energy consumption Linear programming Sensors Robustness Array signal processing

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Signal demodulation with machine learning methods for physical layer visible light communications: Prototype platform, open dataset and algorithms

arXiv

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arXiv 2019年

作者： Ma, Shuai Dai, Jiahui Lu, Songtao Li, Hang Zhang, Han Du, Chun Li, Shiyin School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China State Key Laboratory of Integrated Services Networks Xidian University Xi'an710071 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Shenzhen Research Institute of Big Data Shenzhen518172 China Department of Electrical and Computer Engineering University of California DavisCA95616 United States

In this paper, we investigate the design and implementation of machine learning (ML) based demodulation methods in the physical layer of visible light communication (VLC) systems. We build a flexible hardware prototype of an end-to-end VLC system, from which the received signals are collected as the real data. The dataset is available online, which contains eight types of modulated signals. Then, we propose three ML demodulators based on convolutional neural network (CNN), deep belief network (DBN), and adaptive boosting (AdaBoost), respectively. Specifically, the CNN based demodulator converts the modulated signals to images and recognizes the signals by the image classification. The proposed DBN based demodulator contains three restricted Boltzmann machines (RBMs) to extract the modulation features. The AdaBoost method includes a strong classifier that is constructed by the weak classifiers with the knearest neighbor (KNN) algorithm. These three demodulators are trained and tested by our online open dataset. Experimental results show that the demodulation accuracy of the three datadriven demodulators drops as the transmission distance increases. A higher modulation order negatively influences the accuracy for a given transmission distance. Among the three ML methods, the AdaBoost modulator achieves the best performance. Copyright © 2019, The Authors. All rights reserved.

关键词： Adaptive boosting

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