2018 Chinese Control And Decision Conference (CCDC)最新文献

{"title":"The application of micro variation chaos genetic algorithm in optimum firepower distribution for caboodle of air defense force","authors":"Shang Wenzhong, Pan Wei, Zhu Wenliang","doi":"10.1109/CCDC.2018.8408187","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408187","url":null,"abstract":"Optimum firepower distribution model for caboodle of air defense force based on micro variation chaos genetic algorithm is established by using the battlefield object value and air defense firepower distribution. The model can exert the highest point of firepower unit efficiency of weapon and realize the most damage effect. The steps includes adopting real number to code, creating original community through building chromosome; calculating the degree of adaptation, checking out the original community; manipulating the inherit algorithm operators and ameliorating the manipulation of election, chiasmic, variation and so on. At last, calculate the optimum selection and find out the optimum select of distributive project. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134564858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite-time passive control for interval energy-storing electrical circuit model with time-delay and Markov switching","authors":"Shasha Zhu, Guici Chen, Yali Yang","doi":"10.1109/CCDC.2018.8408074","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8408074","url":null,"abstract":"In this paper, we focus on the stochastic finite-time passive control problem for interval energy-storing electrical systems with time-delay and Markov switching. The mathematical model of energy-storing electrical circuit is given firstly, in which not only the error of resistor R, inductance L and capacitor C, but the stochastic disturbance as well are considered. To investigate the finite-time passive control for the interval energy-storing electrical circuit, mathematical model is transformed into a kind of stochastic uncertain systems with time-delay and Markov switching. By constructing a Lyapunov-Krasovskii functional, together with linear matrix inequalities (LMIs) toolbox, some sufficient conditions are given. Meanwhile, the passive controllers are also designed by solving the corresponding LMIs. Naturally, a numerical examples with simulation is given to illustrate the correctness and effectiveness of the designed controller.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133877881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global robustness of sliding mode control for servo systems","authors":"Yao Xin, Xin Ping","doi":"10.1109/CCDC.2018.8407214","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407214","url":null,"abstract":"In order to ensure the position loop of servo system static precision and dynamic tracking performance, this paper proposes a robust sliding mode controller to control strategy, eliminate the influence of reaching phase of sliding mode control on system performance. The adaptive algorithm is used to estimate the gain of the sliding mode switching term, so that the controller design does not need to predict the uncertainties in the system and the upper and lower bounds of the external disturbances. The adaptive variable structure control of the uncertain servo system is realized.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133969875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-fragile H∞ filter design for two-dimensional foransini-marchesini systems","authors":"Wu Xiao-Xue, Yang Tian-xing, Liu He-ping","doi":"10.1109/CCDC.2018.8407594","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407594","url":null,"abstract":"This paper addresses the problem of non-fragile H∞ filter design for two-dimensional systems. This filter has interval-type gain variation, which means that it cannot be fully performed. Firstly, by Finslers'lemma, the nonfragile filter design has been formulated as a robust convex optimization problem, which is solved by the classic vertex algorithm. It should be noticed that, for high dimensional systems, the number of LMIS involved is so large that it may be over the processing capacity of Matlab LMI Toolbox. To solve this difficulty, an efficient randomized algorithm is proposed. This algorithm can reduce the number of LMI conditions significantly. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131754221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristic analysis of hybrid stochastic timed petri net","authors":"Ruimin Cao, Lina Hao, Guoli Bai, Q. Gao","doi":"10.1109/CCDC.2018.8407810","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407810","url":null,"abstract":"In this paper, an interesting Hybrid Stochastic Timed Petri Net (HSTPN) is introduced synthetically for a class of hybrid systems with discrete, continuous, conflicting, time-delay and stochastic characteristics simultaneously. Each tuple of the model is performed in detail, the dynamic performance and reachability are analyzed. The proposed HSTPN outperforms conventional hybrid Petri net models in terms of describing the scalability and description capability to hybrid characteristics of hybrid systems. Taking the automatic sorting hybrid system as an example, through analyzing the complexity in modeling, we show how the HSTPN could be adopted to the automatic sorting hybrid system and finally the rationality and effectiveness of HSTPN model are verified.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133087351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ATM safe electronic combination lock control system based on ARMV7 architecture","authors":"C. Fengjun, C. Xudong, Wang Chen, Zhang Yulong, Zhao Xueer","doi":"10.1109/CCDC.2018.8407159","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407159","url":null,"abstract":"In view of the mechanical locks used in the financial industry can no longer meet the needs of security and reliability of banking now, in combination with liaoning university julong group product solutions are put forward, new ATM safe lock system is designed to meet the requirements of julong co. LTD. This new type of ATM safe lock system was composed of three parts which are respectively electronic combination lock host, hand-held set intelligent key and host computer (PC) management center. The lower computer is composed of Cortex-M3 series MB9AFB44L processor module, fingerprint identification module and 2.4G wireless module. Bank personnel who adds money is authorized operating authorization by the integrated management system of upper machine, sending a signal to notify the hand-held MCU to send packets in the authorized time after verification of hand-held fingerprint identification module, and the packets are also passed into combination lock host through 2.4G wireless module. When packets are received, combination lock host will compare and extract in advance, and ID number of hand-held device will be verified first. The contents of the packet will be extracted if the ID is meeting the permission scope, and the unlock password in the package content and the authorization record time are recorded at the moment, which is going to be matched with the password generated by combination lock host. The host will directly drive electromagnetic equipment to play the lock tongue if the password is correct. The whole process of verifying the unlock password must be done within the scope of authorization time, generally half a day or a day, which is determined by the bank unit. That is to say, such a practice must be carried out within the control of management system. The lock is verified by actual operation in the bank that it can effectively improve the security of Bank ATM safe electronic password system, and it has a profound historical significance to promote the development of bank ATM safe electronic combination lock industry.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132625526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fault diagnosis based on deep learning subject to missing data","authors":"Weibo Liu, Dan Wei, F. Zhou","doi":"10.1109/CCDC.2018.8407813","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407813","url":null,"abstract":"With the development of modern industry and computer technology, deep learning is widely used in the field of fault diagnosis, but it still faces many challenges, such as data missing due to different sampling rate of different sensor or other data packet of dropout of control system network. Observation data with missing values will seriously affect the result of fault diagnosis. Imputation methods such as regression imputation method intend to solve the problem of data missing to a certain extent. However, as the missing rate increases and the cross-correlation coefficient between observation variable-decreases, the traditional imputation method will fail in extracting the potential feature involved in the missing data. In this paper, a neural network imputation method is proposed to estimate the missed observation. Once online observation data with missing value is available, neural network imputation method is first used to get a structural complete observation sample. Then DNN trained by structural complete data can be effectively classify different fault with high accuracy. Experiment analysis shows the efficiency of the proposed method.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128946029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is full skill the best configuration for seru production system?","authors":"W. Ye, T. Jiafu","doi":"10.1109/CCDC.2018.8407801","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407801","url":null,"abstract":"Seru production system (SPS) is now widely adopted in Japanese manufacturing firms to deal with the dynamic uncertain demand. Multi-skilled workers and compact layout make SPS takes the advantage of both efficiency and flexibility. In this paper, we compared the fulfill rate of three skill levels of SPS (single-skilled, long chain two-skilled and full-skilled). The purpose of this paper is to testify which skill level performs best for implementing SPS under fluctuated demand. On this basis, we consider the efficiency decline factor (EDF) which represents the processing time of a worker will be longer when he serves more product types. Scenario decomposition method is adopted to estimate the fulfill rate of three skill-leveled SPS. Numerical experiments show that fulfill rate of long chain two-skilled SPS is almost the same as full-skilled SPS, while single-skilled SPS' fulfill rate decline significantly with the growing of demand fluctuation. Moreover, with considering of EDF, long chain two-skilled SPS performs the best among them.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131063953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immersion and invariance based composite adaptive control of nonlinear high-order systems","authors":"Zhen Liu, Ruyi Yuan, Guoliang Fan, J. Yi","doi":"10.1109/CCDC.2018.8407112","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407112","url":null,"abstract":"A new nonlinear composite adaptive control based on immersion and invariance theory is presented for a class of high-order system with parametric uncertainty. The main feature of this control scheme lies in the construction of the adaptive law, which is driven by both tracking error and prediction error. The tracking-error based adaptation law is first constructed using immersion and invariance theory, then the prediction-error based adaptation law is added to it, thus makes a composite adaptive control law. The combination is applied to the immersion and invariance based adaptive control with improved performance. Stability analysis is presented using Lyapunov theory, which shows asymptotical convergence of the tracking error to zero. The validity of the proposed control scheme is illustrated through numerical simulations.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consensus of first-order Multi-Agent Systems under Event-Triggered Communication","authors":"Xiasheng Shi, Ronghao Zheng, Zhiyun Lin, Gangfeng Yan","doi":"10.1109/CCDC.2018.8407940","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407940","url":null,"abstract":"A distributed event-triggered control scheme for first-order discrete-time multi-agent systems over fixed directed network is designed, in order to save energy resources and network bandwidth by reducing communication between agents. Each agent only communicates with its neighboring agents at some specific conditions which are called triggering time instants. The control protocol is designed to achieve the consensus of multi-agent systems, and then the convergence of the algorithm is proved by the Lyapunov method if the network has a spanning tree. Based on the analysis, there is a simulation example at last to demonstrate the effectiveness of the theoretical control protocol.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}