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2008 7th World Congress on Intelligent Control and Automation最新文献

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LMI approach to H2 reduction model of switched systems 切换系统H2还原模型的LMI方法
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593893
D. Xie, N. Xu, Xiaoxin Chen
{"title":"LMI approach to H2 reduction model of switched systems","authors":"D. Xie, N. Xu, Xiaoxin Chen","doi":"10.1109/WCICA.2008.4593893","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593893","url":null,"abstract":"This paper presents the H2 model reduction problem for discrete-time switched systems using average dwell-time approach. First, by constructing multiple Lyapunov functions, the exponential stability criterion of switched systems under average dwell-time taualpha is established. Then, a reduced-order model for the underlying system is constructed, which guarantees these two models are close in H2 norm sense. Finally, an example is given to illustrate our results. All the results in this paper are expressed in terms of linear matrix inequalities (LMIs), which can be easily tested with efficient LMI algorithms.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128203992","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}
引用次数: 4
Neural learning control with disturbance 具有干扰的神经学习控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593129
Guopeng Zhou, Wang Cong, Zhao Min
{"title":"Neural learning control with disturbance","authors":"Guopeng Zhou, Wang Cong, Zhao Min","doi":"10.1109/WCICA.2008.4593129","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593129","url":null,"abstract":"Deterministic learning theory was presented and investigated recently. Due to the existence of time varying disturbances, learning capability may be influenced. In this paper, deterministic learning theory will be analyzed in environments with disturbances. With appropriately designed adaptive neural controller, the disturbances are attenuated and partial persistent excitation (PE) for radial basis function neural network (RBF NN) is satisfied. By utilizing partial PE condition and uniform complete observability (UCO) technique, the nominal part of the error subsystem is exponentially stable. Furthermore, all signals of the error subsystem converge to a neighborhood of zero exponentially and the size of the neighborhood relies not only on the amplitude of disturbances but also on the control gains. After the learning process, the estimated neural weights are stored in RBF NN and a constant neural controller can be implemented. The simulation shows the effectiveness of this scheme.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128227349","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}
引用次数: 0
Analysis of bionic olfactory neural networks based on small-world networks view 基于小世界网络的仿生嗅觉神经网络分析
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593148
Jin Zhang, Guang Li, Walter J. Freeman
{"title":"Analysis of bionic olfactory neural networks based on small-world networks view","authors":"Jin Zhang, Guang Li, Walter J. Freeman","doi":"10.1109/WCICA.2008.4593148","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593148","url":null,"abstract":"To model mammalian olfactory neural systems, Kset models have been constructed by Prof. Walter J. Freeman. In K-set models, KIII model simulates the whole olfactory neural system and has novel characters different from conventional artificial neural networks, such as non-convergent ldquochaoticrdquo dynamics. Based on small-world networks view, the structural characteristics of KIII model are analyzed in this paper. Analytic results show some interesting results: (1) KIII model has large clustering coefficient; (2) there is the linear relationship between node number and characteristic path length in KIII model.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422283","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}
引用次数: 2
The application of change structure fuzzy neural network based on clonal algorithm at AGC system 基于克隆算法的变结构模糊神经网络在AGC系统中的应用
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4594296
Yan Wang, Lei Sun
{"title":"The application of change structure fuzzy neural network based on clonal algorithm at AGC system","authors":"Yan Wang, Lei Sun","doi":"10.1109/WCICA.2008.4594296","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594296","url":null,"abstract":"Aiming at the insufficiency of genetic algorithm optimize function parameter, the paper designs the controller based on the clonal algorithm to control the AGC system, the clonal algorithm combines the Gauss variation and the Cauchy variation. The emulation result displays that the means be true of the AGC system and be able to procure better controllability.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445573","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}
引用次数: 0
Based on the betterment expert control of the brake cylinder pressure control method 改进了基于专家控制的制动缸压力控制方法
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4594412
Jianfeng Liu, W. Gui, Zhiwu Huang
{"title":"Based on the betterment expert control of the brake cylinder pressure control method","authors":"Jianfeng Liu, W. Gui, Zhiwu Huang","doi":"10.1109/WCICA.2008.4594412","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594412","url":null,"abstract":"It is obviously that air pressure has the specialties of nonlinear and incertitude, and especially the tiny air pressure is so difficulty to be controlled accurately. A control method of the betterment of expert control is presented to solve these problems. The method uses groovy expert control to define the rules, uses intelligence arithmetic to achieve the dead-time of electric air value and adopts the betterment of expert control arithmetic to implement accurate control on air braking. The method is used in Brake Control Unit and the application result shows that it has excellent static and dynamic specialties and the control precision can achieve 1 kPa. The method can suffice the needs of Brake Control Unit.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500734","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}
引用次数: 0
System analysis and intelligent SNC control of a Prey-predator bioreactor 捕食型生物反应器的系统分析与智能SNC控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593783
Chyi-Tsong Chen, S. Peng, Yao-Chen Chuang
{"title":"System analysis and intelligent SNC control of a Prey-predator bioreactor","authors":"Chyi-Tsong Chen, S. Peng, Yao-Chen Chuang","doi":"10.1109/WCICA.2008.4593783","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593783","url":null,"abstract":"This paper investigates the dynamics of a special bioreactor that has Prey-predator interactions. Through analysing the systempsilas Jacobian matrix, the wash out, limit cycle as well as the Hopf bifurcation phenomena are characterized. To achieve stable and high performance operation of the bioreactor, we present an intelligent control strategy using a bounded single neuron controller (SNC). It is found that with the parameter tuning algorithm the SNC can learn to control the bioreactor in an autonomous and adaptive way through simply the output performance feedback. Besides, simulation results show that the proposed intelligent SNC control is easy to implement and can provide excellent control performance despite the influence of unexpected system perturbation as well as the process disturbances.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128273395","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}
引用次数: 2
Advanced GPU-based state-preserving particle system 基于gpu的先进保态粒子系统
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593602
Xingquan Cai, Jinhong Li, Jian Yang, Zhitong Su
{"title":"Advanced GPU-based state-preserving particle system","authors":"Xingquan Cai, Jinhong Li, Jian Yang, Zhitong Su","doi":"10.1109/WCICA.2008.4593602","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593602","url":null,"abstract":"In this paper, we present a new method to build advanced particle system on GPU and the particle system is a state-preserving simulation system. The method processes the birth and death of particles via index on CPU and uses a pair of floating point textures on GPU to store the dynamic attributes of particles. This method also updates the dynamic attributes of particles, handles the collision between particles and other models and renders the system on GPU. We also provide a three-layers hierarchical structure to manage the particle system and batch rendering the particles having the similar attributes. Finally, the experiments prove that our method is feasible and high performance.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372962","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}
引用次数: 3
A novel fuzzy neural network approximator with exponential fast terminal sliding mode 一种新型的指数快速终端滑模模糊神经网络逼近器
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593689
Ming He, Yunfeng Liu, Guangbin Liu, Huafeng Liu
{"title":"A novel fuzzy neural network approximator with exponential fast terminal sliding mode","authors":"Ming He, Yunfeng Liu, Guangbin Liu, Huafeng Liu","doi":"10.1109/WCICA.2008.4593689","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593689","url":null,"abstract":"A new learning algorithm for fuzzy neural network (FNN) systems to approximate unknown nonlinear continuous functions is proposed. The concept of exponential fast terminal sliding mode is introduced into the learning algorithm to improve approximation ability. The Lyapunov stability analysis guarantees that the approximation is stable and converges to the unknown function with improved speed. The proposed FNN approximator is then applied in the control of an unstable nonlinear system. Simulation results demonstrate that the proposed method can obtain good approximation ability and tracing control of nonlinear dynamic system.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128379615","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}
引用次数: 2
The analysis of the key performances of ControlNet 控制网的关键性能分析
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593856
Fanjin Sun, Xinxiang Pan, Yancheng Liu
{"title":"The analysis of the key performances of ControlNet","authors":"Fanjin Sun, Xinxiang Pan, Yancheng Liu","doi":"10.1109/WCICA.2008.4593856","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593856","url":null,"abstract":"In order to evaluate the real time property, stability and deterministic of ControlNet fieldbus, a simple and effective transmission time delay model was proposed to analyze the characteristic of virtual token passing (VTP) mechanism. Then, the maximum transmission time delay in the scheduled part of network update time can be determined. According to the contribution of the transmission time delay to the network throughput, a new performance evaluation architecture, which includes the network efficiency, network utilization, packet loss rate and throughput, was given. The simulated results indicate ControlNet has good throughput and excellent real-time property in multicast mode when the traffic load is small, and the network efficiency is over 90%.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128625639","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}
引用次数: 0
Intelligent fault diagnosis research for permanent magnet linear synchronous motor 永磁直线同步电机故障智能诊断研究
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-06-25 DOI: 10.1109/WCICA.2008.4593223
F. Wang, S. Yuan
{"title":"Intelligent fault diagnosis research for permanent magnet linear synchronous motor","authors":"F. Wang, S. Yuan","doi":"10.1109/WCICA.2008.4593223","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593223","url":null,"abstract":"On basis of fault characteristics analysis of the permanent magnet linear synchronous motor (PMLSM), a fuzzy wavelet neural network model was established to achieve the PMLSM intelligent fault diagnosis, which used wavelet function as a fuzzy membership function and integrated fuzzy logic with BP neural network. Meanwhile a mixed learning algorithm based on self-organizing and instructors-guide-learning was proposed to train translation factor, flexing factor of wavelet function, and fuzzy neural network weights to make network parameters and structure achieve optimal approximation. The test results show that the method can realize fault diagnosis effectively, improve the efficiency and accuracy of diagnosis, and provide an effective way for the protection of PMLSM safe operation.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157691","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}
引用次数: 4
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