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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Yongmin Zhang Jiayi Chen Lin Cai Jianping Pan The State Key Lab. of Industrial Control Technology Zhejiang University China The Department of Electrical & Computer Engineering University of Victoria BC Canada The Department of Computer Science University of Victoria BC Canada

Connected electric vehicles (EVs) are a key component of future intelligent and green transportation systems, and the penetration of EVs depends on convenient and cost-effective charging services. In addition to being charged at home or on parking lots, a charging network is needed for EVs right off the road. This paper first focuses on the optimal charging network design for charging service providers, considering the time-varying and location-dependent demands from vehicles and constraints of power grids. To optimize the charging station locations and the number of chargers in each station, we first model the coverage area of each possible location to estimate the dynamic charging requirements of EVs. Then, we formulate the problem as profit maximization, which is a mixed-integer program. To make the problem tractable, we investigate the features of the problem and obtain a necessary condition to deploy a charging station and derive the upper and lower bounds of the number of chargers in each station. Given the analysis, we take two steps to transform and relax the problem to convex optimization. A fast-converging search algorithm is further proposed based on the profit of each possible location. Using real vehicle traces, simulation results show that the proposed algorithm can maximize the total profit when fewer charging stations and chargers are initially needed, which is more attractive for charging service providers.

关键词： Charging stations Power grids Upper bound Space stations Nickel Electric vehicle charging

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Fuzzy Sliding Mode controller Design for Active Suspension Systems with Load Variation

Fuzzy Sliding Mode Controller Design for Active Suspension S...

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第六届工程机械与车辆工程新进展国际学术会议

作者： S.Liu Z.G.Wang Y.P.Zhang Z.J.Lin Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University

This paper mainly investigates the fuzzy sliding mode control of 1/4 vehicle suspension ***,the dynamical model of suspension system with uncertainty is established for the time-varying of

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Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

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IOP Conference Series: Materials Science and engineering 2018年第1期359卷

作者： X Y Cheng H B Wang Y L Jia YH Dong The Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

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Friction compensation control of space manipulator considering the effects of gravity 35

Friction compensation control of space manipulator consideri...

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第35届中国控制会议

作者： QIN Li JIA Xiao-jing LIU Cai-feng LIU Fu-cai Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (纸本)9781509009107

All space manipulators are debugged on the ground and on-orbit serviced in space. Compared with in ground gravity environment their friction characteristics in space microgravity environment have great changes. For sake of tracking the desired trajectory, in both ground and space, considering these characteristics, a friction compensation control method based on an Active Disturbance Rejection control(ADRC) is proposed and its effectiveness is validated on a planar 2-DOF free-floating space manipulator. The friction models and the dynamic models under different gravity environment have been derived based on the torque balance, the Kane equation and the Lagrange method. Particle Swarm Optimization(PSO) is put forward to optimize parameters of ADRC so as to improve the efficiency of designing process. Compared with PD controller in tracking simulation under different gravity environment, the results verify the advantage of the proposed improved control method.

关键词： space manipulator gravity friction compensation ADRC Trajectory tracking PSO

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J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation

J-Measure Based Pruning for Advancing Classification Perform...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Han Liu Mihaela Cocea Weili Ding School of Computer Science and Informatics Cardiff University Queen’s Buildings 5 The Parade Cardiff United Kingdom School of computing University of Portsmouth Buckingham Building Lion Terrace Portsmouth United Kingdom Laboratory of Pattern Recognition and Intelligent Systems Key Laboratory of Industrial Computer Control Engineering of Heibei Provience Yanshan University Qinghuangdao China

ISBN: (纸本)9781538652152

Learning of classification rules is a popular approach of machine learning, which can be achieved through two strategies, namely divide-and-conquer and separate-and-conquer. The former is aimed at generating rules in the form of a decision tree, whereas the latter generates if-then rules directly from training data. From this point of view, the above two strategies are referred to as decision tree learning and rule learning, respectively. Both learning strategies can lead to production of complex rule based classifiers that overfit training data, which has motivated researchers to develop pruning algorithms towards reduction of overfitting. In this paper, we propose a J-measure based pruning algorithm, which is referred to as Jmean-pruning. The proposed pruning algorithm is used to advance the performance of the information entropy based rule generation method that follows the separate and conquer strategy. An experimental study is reported to show how Jmean-pruning can effectively help the above rule learning method avoid overfitting. The results show that the use of Jmean-pruning achieves to advance the performance of the rule learning method and the improved performance is very comparable or even considerably better than the one of C4.5.

关键词： Decision trees Learning systems Training data Entropy Information entropy Machine learning Machine learning algorithms

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A Fast Channel State Information Feedback Scheme Based on Compressive Sensing for Underwater Acoustic MIMO Systems 35

A Fast Channel State Information Feedback Scheme Based on Co...

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第35届中国控制会议

作者： MA Hui JIAO Jianzhou CHEN Jianmei LI Xinbin Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (纸本)9781509009107

In this paper,a compressive feedback scheme based on compressed sensing is investigated to reduce feedback load and enhance the sum throughput at low feedback rates for underwater acoustic MIMO ***,to avoid the outof-date channel state information at the transmitter under the high dynamic underwater channel,we present a modified SL0（M-SLO） algorithm to recover the CSI at the transmitter,which adopts more steep approximate hyperbolic tangent function to approximate the l norm in the *** minimization problem of the l norm canbe transformed into a convex optimization problem for the smoothed ***,in order to solve the problem of slow convergence and inaccuracy estimation caused by notched ejfect of the gradient method,hybrid optimization algorithm that combines the advantages of the gradient method and the revised Newton method is introduced to improve the accuracy of sparse *** simulations show that the recovery accuracy and speed are improved by the proposed M-SL0 algorithm comparing with SL0,OMP ***,CSI feedback based compressive sensing performs better than the feedback based on a vector quantitation codebook.

关键词： compressive feedback compressed sensing M-SLO recovery algorithm channel state information

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Stability analysis of periodic solutions and time-delay feedback control of the torsional vibration system of the rolling mill

Stability analysis of periodic solutions and time-delay feed...

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第六届工程机械与车辆工程新进展国际学术会议

作者： Shuang Liu Shuxian Tan Shuo Li Yaqian Li Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University

In this paper,considering the influence of nonlinear factors and Lagrange principle,the general dynamic equation of the nonlinear torsional vibration system with nonlinear stiffness and excitation is

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Real-time vehicle tracking for traffic monitoring systems

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High Technology Letters 2016年第3期22卷 248-255页

作者：胡硕 Zhang Xuguang Wu Na Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical EngineeringYanshan University Key Laboratory of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical EngineeringYanshan University

A real-time vehicle tracking method is proposed for trattlC monitoring system at roau mte^cc- tions, and the vehicle tracking module consists of an initialization stage and a tracking stage. Li- cense plate location based on edge density and color analysis is used to detect the license plate re- gion for tracking initialization. In the tracking stage, covariance matching is employed to track the license plate. Genetic algorithm is used to reduce the computational cost. Real-time image tracking of multi-lane vehicles is achieved. In the experiment, test videos are recorded in advance by record- ers of actual E-police systems erage false detection rate and at several different city intersections. In the tracking module, the av- missed plates rate are 1.19%, and 1.72%, respectively.

关键词： traffic monitoring system covariance matching genetic algorithms vehicle tracking

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Active Disturbance Rejection control for Vibration Displacement Tracking System of Continuous Casting Mold Driven by Servo Motor

Active Disturbance Rejection Control for Vibration Displacem...

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第36届中国控制会议

作者： ZHANG Wenbo FANG Yiming LI Jianxiong MA Zhuang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

Active disturbance rejection control（ADRC） is applied in this paper to solve the problems of time-varying load torque disturbance,reduction ratio uncertainty and the initial deviation of the eccentric shaft mechanical zero,which exist in the continuous casting mold vibration displacement system driven by servo *** consists of three parts:tracking differentiator（TD）,extended state observer（ESO） and nonlinear state error feedback（NLSEF）.TD is responsible for the arrangement of the transition process of eccentric shaft angular displacement and extracts its differential signal,which makes eccentric shaft angular displacement change *** improve the tracking accuracy,a modified ESO is designed to estimate and compensate comprehensive disturbance of the control system,which enhances system anti-disturbance ability,And NLSEF is then developed to improve the rapidity and stability of the control ***,the simulation results are given to show that ADRC has the characteristics of fast response,high accuracy and strong robustness against the internal and external disturbances in the control system.

关键词： servo motor continuous casting mold vibration displacement system active disturbance rejection control

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Dynamic Topology Multi Force Particle Swarm Optimization Algorithm and Its Application

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Chinese Journal of Mechanical engineering 2016年第1期29卷 124-135页

作者： CHEN Dongning ZHANG Ruixing YAO Chengyu ZHAO Zheyu Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao 066004 China Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University) Ministry of Education of China Qinhuangdao 066004 China Hebei Provincial Key Laboratory of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China

Particle swarm optimization （PSO） algorithm is an effective bio-inspired algorithm but it has shortage of premature convergence. Researchers have made some improvements especially in force rules and population topologies. However, the current algorithms only consider a single kind of force rules and lack consideration of comprehensive improvement in both multi force rules and population topologies. In this paper, a dynamic topology multi force particle swarm optimization （DTMFPSO） algorithm is proposed in order to get better search performance. First of all, the principle of the presented multi force particle swarm optimization （MFPSO） algorithm is that different force rules are used in different search stages, which can balance the ability of global and local search. Secondly, a fitness-driven edge-changing （FE） topology based on the probability selection mechanism of roulette method is designed to cut and add edges between the particles, and the DTMFPSO algorithm is proposed by combining the FE topology with the MFPSO algorithm through concurrent evolution of both algorithm and structure in order to further improve the search accuracy. Thirdly, Benchmark functions are employed to evaluate the performance of the DTMFPSO algorithm, and test results show that the proposed algorithm is better than the well-known PSO algorithms, such as gPSO, MPSO, and EPSO algorithms. Finally, the proposed algorithm is applied to optimize the process parameters for ultrasonic vibration cutting on SiC wafer, and the surface quality of the SiC wafer is improved by 12.8% compared with the PSO algorithm in Ref. [25]. This research proposes a DTMFPSO algorithm with multi force rules and dynamic population topologies evolved simultaneously, and it has better search performance.

关键词： force rule MFPSO algorithm FE topology DTMFPSO algorithm parameter optimization

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