{"title":"Associated analysis of technological progress, economy and ecological environment","authors":"Zhigang Pan, Xiaohong Wang, Rui Guo","doi":"10.1109/CCDC.2012.6244622","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244622","url":null,"abstract":"Technological Progress can promote rapid growth of the economy while costing vast amount of resources and heavily increasing ecological environment burden. The progress of technology development is currently facing dual pressures, to both promote economic growth and development and to reduce pollution of ecological environment. This article will put Technological Progress, economy and ecological environment in a uniform framework to research and analyze the associated mechanism among the three. It will provide empirical analysis through statistical yearbook data. Finally, it will draw a conclusion that the promotion of quality due to technological progress is the critical path for the coordinated development of technology, economy and ecological environment.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811774","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":"Analysis of stabilizing control of discrete-time fuzzy bilinear system","authors":"Zhang Guo, Duan Chunxia, Z. Yanhua","doi":"10.1109/CCDC.2012.6244432","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244432","url":null,"abstract":"This paper presents stability analysis and controller synthesis for discrete-time fuzzy bilinear system with single-input and multiple-input, respectively. Based on the parallel distributed compensation (PDC) method, some sufficient conditions are derived to guarantee the global asymptotically stability of the overall fuzzy system. The conditions are represented in terms of linear matrix inequality (LMI) and the corresponding controller can be obtained by solving a set of linear matrix inequalities. Numerical examples are given to show the effectiveness of the presented methods.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125883165","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":"Stability analysis of a damped Timoshenko beam with Cattaneo's law","authors":"Li-Juan Yang, Jun‐min Wang","doi":"10.1109/CCDC.2012.6244494","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244494","url":null,"abstract":"In this paper, we consider the stability of a one-dimensional damped Timoshenko beam system. With Cattaneo's law, the Timoshenko beam is coupled with a heat equation. The exponential stability of the system is showed when the system is forced with two internal dampings.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129496982","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":"Stable observer-based control for long network-induced delays","authors":"Yiming Zhang, V. Sircoulomb, N. Langlois","doi":"10.1109/CCDC.2012.6244467","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244467","url":null,"abstract":"With regards to the characteristics of uncertain long delay of networked control system (NCS), the stochastic time- delay system can be transformed to a deterministic delay system by placing proper quantities of buffers at the nodes of the double-end networked control systems. An observer-based control design subject to fixed time delay is proposed to construct the augmented state-space model. Based on the Lyapunov function and linear matrix inequality (LMI) theorem, sufficient and necessary conditions for stability of such systems using static state feedback are given. Simulation result proves its effectiveness.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123065839","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}
Cui Lei, Jinjin Wang, L. Gang, Wu Jianhua, Wang Ruiyang, Yang Bingbing
{"title":"Online optimization of controller parameters based on power electronics semi-physical simulation platform","authors":"Cui Lei, Jinjin Wang, L. Gang, Wu Jianhua, Wang Ruiyang, Yang Bingbing","doi":"10.1109/CCDC.2012.6244004","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244004","url":null,"abstract":"This paper designs a semi-physical simulation platform for power electronic control systems to make it easier to design and debug the control algorithm and parameters. The control algorithm is built up using MATLAB/Simulink, and the PC is connected to the actual power electronic circuit. This design realizes online comparison control algorithm and automatic debugging of the controller parameters. On this basis, the paper has also developed an online optimization function of the controller parameters to ensure a reasonable transient response. Experimental results demonstrate the practicality and effectiveness of the experimental platform. The control strategy is modified flexibly and it is suitable for teaching experiment and engineering debug.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130163209","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 adaptive strategy to make a complex network attain an inhomogeneous equilibrium","authors":"X. Lu, B. Qin","doi":"10.1109/CCDC.2012.6243043","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243043","url":null,"abstract":"A global adaptive strategy is proposed to make a complex dynamical network attain an inhomogeneous equilibrium point. Based on the error between the node's state and its desired state, the coupling strength between nodes increases until the network attain an inhomogeneous equilibrium point. By constructing a Lyapunov function, a sufficient condition about the inhomogeneous equilibrium point is obtained, which is proofed by simulation, when the isolated node is a Chua's circuit.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275125","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":"The application of adaptive genetic algorithms and observation systems in emplacement reconnaissance and verifying radar","authors":"Wang Lei, Pan Wei","doi":"10.1109/CCDC.2012.6244123","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244123","url":null,"abstract":"The problem of managing sensors as one of optimal control of the resulting state estimator covariance matrix. Originally posed in the early days of optimal control, this problem has received little attention, despite the proliferation of active sensing systems and sensor networks and the resulting need to target observations to obtain useful state estimates while minimizing energy expenditure. The problem where the parameters of an observation system, to be selected from given set, are controlled in-the-loop. The necessary condition for optimality and a numerical scheme for finding these solutions. Finally, using a convenient parameterization of the ambiguity function for a certain class of pulsed emplacement reconnaissance and verifying radar systems, we apply this theory to optimal tracking of a target with known dynamics.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130499419","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":"Design of fractional-order QFT controllers for unstable plants based on automatic loop shaping","authors":"Li Meng, Dingyu Xue","doi":"10.1109/WCICA.2012.6358231","DOIUrl":"https://doi.org/10.1109/WCICA.2012.6358231","url":null,"abstract":"This paper introduces a quantitative robust fractional order controller designing applicable to the unstable plant. The plant is with only one unstable pole. In this work, the main idea consists in the study of the fractional-order compensator, which gives singular properties to automatically shape the open loop gain function in Nichols by using a minimum set of parameters. The fractional order controller is designed for not only minimum phase system but also uncertain non-minimum phase and unstable plants in QFT. It has been demonstrated that the fractional order controller can provide smaller high frequency gain than the integer order controller due to its extra tunable parameters. An automatic loop-shaping based on Particle Swarm Optimization (PSO) is developed and employed in quantitative feedback theory (QFT).","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"17 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121001581","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":"The temperature system identification of the PVC stripper tower top based on PSO-FCM optimized T-S model","authors":"Gao Shu-zhi, D. Xing, Gao Xianwen","doi":"10.1109/CCDC.2012.6243050","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243050","url":null,"abstract":"In view of the characteristics of T-S model, such as easily expressing complex dynamic systems and the characteristics of PSO algorithm which could find the optimal solution of complex problems easily. This paper will presents a new identification method based on the T-S model in which FCM parameters is optimized by PSO. The mathematical model of the temperature system of the PVC stripper tower top will be built by this method. First, an adaptive number of clusters of C-means clustering fuzzy (FCM) algorithm is used to find the appropriate number of clusters in FCM, and both the number of fuzzy rules and the premise parameters of the model can are determined. Using PSO algorithm to optimize the FCM algorithm, then getting the best membership matrix by the FCM algorithm based on PSO in the end. Then, a least square algorithm is applied to determine the parameters of consequent part of T-S model. The simulation result shows the effectiveness and feasibility of the modeling method.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637041","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":"Perfect tracking control and fault diagnosis for RMG","authors":"Zhao Xia, He Yabo","doi":"10.1109/CCDC.2012.6244110","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244110","url":null,"abstract":"RMG (Rail-mounted Gantry) plays a more and more important role in modern harbor. Gnawing rail problem limits its further quick development. For the first time, the article apply perfect tracking control (PTC)[1] put forward by Hiroshi Fujimoto et al. to the control of RMG to reduce gnawing rail problem. We also put forward an intelligent fault diagnosis system aimed for gnawing rail problem. Basing on the “different reasons have different phenomena” principle, the fault diagnosis system can locate the reasons by making use of multisensor information fusion and fault diagnosis logic deduction system. The combination of both methods can prevent and decrease gnawing phenomenon to a great extent. The system not only can minish gnawing rail phenomenon, diagnose causes of gnawing rail and give an corresponding alarm, but also has the capacity of preventing gnawing rail phenomenon beforehand. And the method has a wide application foreground to other rail-mounted vehicles too.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114674569","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}