发布求助
文献互助 智能选刊 最新文献

2010 International Conference on Intelligent Control and Information Processing最新文献

筛选
英文 中文
Fuzzy-approximator-based adaptive tracking controller design for a class of nonlinear system 一类非线性系统的模糊逼近自适应跟踪控制器设计
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565301
Junsheng Ren, Xianku Zhang
{"title":"Fuzzy-approximator-based adaptive tracking controller design for a class of nonlinear system","authors":"Junsheng Ren, Xianku Zhang","doi":"10.1109/ICICIP.2010.5565301","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565301","url":null,"abstract":"This paper presents a novel adaptive tracking fuzzy control scheme for a class of nonlinear system. Takagi-Sugeno (T-S) fuzzy model is employed to approximate the unknown system function. Moreover, only one parameter is necessary to be tuned online such that the complexity of the controller is reduced dramatically. All the signals in the closed-loop system is shown to be ultimately uniformly bounded, and the tracking error converges to a small neighborhood. Smooth function are contained in the control law to avoid the use of saturation function. There is no need of exact knowledge of low bound or upper bound of control gain function. Finally, the effectiveness of the proposed scheme is verified through simulation results in inverted pendulum on a cart system.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276007","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: 1
Gust response analysis and alleviation scheme design for elastic aircraft 弹性飞机阵风响应分析及缓解方案设计
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564227
Lei Chen, Zhigang Wu, Chao Yang, Changhong Tang
{"title":"Gust response analysis and alleviation scheme design for elastic aircraft","authors":"Lei Chen, Zhigang Wu, Chao Yang, Changhong Tang","doi":"10.1109/ICICIP.2010.5564227","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564227","url":null,"abstract":"Based on elastic aircraft, time-domain continuous gust response analysis using rational function approximation technique and time-domain discrete gust response analysis using hybrid modeling technique are presented. Two gust alleviation control schemes are designed: (1) the feedback signals are gathered by pitch rate gyroscope and accelerometers, which are located at the tip of the wing and the centroid of the aircraft, while the aileron and elevator are used as the control surfaces for gust alleviation system; (2) the feedback signal are gathered by angle of attack sensor and accelerometers which are located at the tip of the wing and the centroid of aircraft, while the aileron and elevator are used as the control surfaces for gust alleviation system. The result are demonstrated that the alleviation effect of continuous and discrete gust response by control scheme 1 and 2 satisfy the gust alleviation design target. This article are of reference value to extend gust alleviation technique to engineering application.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124645570","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
Path planning of underwater vehicle based on particle swarm optimization 基于粒子群优化的水下航行器路径规划
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564218
Xiaoyong Tang, Fei Yu, Ruijuan Chen
{"title":"Path planning of underwater vehicle based on particle swarm optimization","authors":"Xiaoyong Tang, Fei Yu, Ruijuan Chen","doi":"10.1109/ICICIP.2010.5564218","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564218","url":null,"abstract":"The particle swarm optimization is applied to path planning of the underwater vehicle. Firstly, the purpose of dimensionality reduction by the transformation of spatial coordinates and slicing of 3D space is achieved. Secondly, an effective path function and a rotation frequency function are defined. Then the path planning problem is changed into solving the optimization problem, and there are some improvements in the program in order to meet project needs. Finally, through the simulation, the feasibility and effectiveness of the program is proved.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124762408","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: 6
Optimization of learning algorithms for Chaotic Diagonal Recurrent Neural Networks 混沌对角递归神经网络学习算法的优化
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564282
Zhanying Li, Ke-jun Wang, Mo Tang
{"title":"Optimization of learning algorithms for Chaotic Diagonal Recurrent Neural Networks","authors":"Zhanying Li, Ke-jun Wang, Mo Tang","doi":"10.1109/ICICIP.2010.5564282","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564282","url":null,"abstract":"The traditional solutions of weight training were various derivation method in Chaotic Diagonal Recurrent Neural Networks model and its momentum gradient learning algorithm. But its deduced the precise of all the weight, without the discrete moment k. In this paper, an optimization design of sampling time k was carried out the derivation of the weight training, and a revised mathematical model was used. Simulation and results demonstrated that the optimization of sampling time k could increase the prediction accuracy and the method had generalizations in other prediction.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190457","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
A contrast between rule-based and model-based dummy metal fill in ASIC design 基于规则和基于模型的虚拟金属填充在ASIC设计中的对比
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564167
Xiaoming Chen, Songsong Li, Jianwei Zhang
{"title":"A contrast between rule-based and model-based dummy metal fill in ASIC design","authors":"Xiaoming Chen, Songsong Li, Jianwei Zhang","doi":"10.1109/ICICIP.2010.5564167","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564167","url":null,"abstract":"Chemical-mechanical polishing (CMP) is an essential process in deep-submicrometer LSI manufacturing to achieve Chip's planarization. It includes two processes: back-end-of-line (BEOL) and front-end-of-line (FEOL). We focus the problem on BEOL in 65nm Copper Process. Through model-based dummy metal fill is becoming a tendency recently, we proved that rule-based dummy fill is appropriate still. We apply the improved rule-based dummy fill into a middle scale design. We investigated the oxide and metal thickness, the capacitance variation and variation of layout data size. The result show that improved rule-based dummy fill is still effective in 65nm process, and model-based dummy fill is not better than the rule-based obviously.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125438477","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
An AIS-based cloud security model 基于ai的云安全模型
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564193
Xufei Zheng, Yonghui Fang
{"title":"An AIS-based cloud security model","authors":"Xufei Zheng, Yonghui Fang","doi":"10.1109/ICICIP.2010.5564193","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564193","url":null,"abstract":"As the construction of malicious software has shifted from novices to commercial, malware attacks grew considerably in frequency and traditional antivirus software fails to detect many modern malware and its increasing complexity has resulted in vulnerabilities that are being exploited by many malwares. In this paper we advocate an artificial immune system (AIS) based cloud security model for malware detection as in-cloud service instead of local-based antivirus software. We discuss how cloud based cloud security model can effectively coexist with traditional scanning technologies, and what are the advantages and limitations of this new approach. In the model, we combine local-host based detector in host agent with multiple detection engines in the cloud. This model enables detection of malware by multiple detection engines in the cloud in parallel. To explore and validate the idea we construct a prototype which includes a lightweight host agent, multiple detection engines in the network, and an AIS-based detection engine. We evaluate the performance and efficacy of the system using a dataset of 1500 malware samples through Arbor Malware Library (AML) covering a one year period.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125894995","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: 13
Application of high-order cumulant in the phase-space reconstruction of multivariate chaotic series 高阶累积量在多元混沌序列相空间重构中的应用
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564338
Jianhui Xi, Wenlan Han
{"title":"Application of high-order cumulant in the phase-space reconstruction of multivariate chaotic series","authors":"Jianhui Xi, Wenlan Han","doi":"10.1109/ICICIP.2010.5564338","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564338","url":null,"abstract":"Aimed at multivariate chaotic time series with random noise, this paper builds a noisy multivariate phase space reconstruction method making use of the noise robustness of high-order cumulants. First, the local intrinsic dimension (LID) is selected as the fractal dimension of chaotic sequences, which has a fairly good robustness to noise. A third-order cumulant is introduced into the fractal dimension calculation. Second, both the linear correlations and the nonlinear correlations of each component are detected to initialize an embedding delay window. Finally, the embedding dimension and delay time are calculated to reconstruct the phase space of multivariate. The simulation results of x and y sequences produced by Lorenz equation show that the method proposed in the paper has a good robustness in the calculation of the noisy chaotic sequence's embedding dimension, and the reconstructed strange attractors get good extension in the reconstructed phase space, which better reflects the phase space properties of the multivariate chaotic sequence.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127439922","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
Adaptive fuzzy control for balancing double inverted pendulums 双倒立摆平衡的自适应模糊控制
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565221
Naxin Chen, Zugang Zhang, Fujun Liu, R. Bu
{"title":"Adaptive fuzzy control for balancing double inverted pendulums","authors":"Naxin Chen, Zugang Zhang, Fujun Liu, R. Bu","doi":"10.1109/ICICIP.2010.5565221","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565221","url":null,"abstract":"The stabilization control of a double-inverted-pendulums(DIP) system connected by a spring is considered in this paper. The DIP system is a complicated, nonlinear, unstable two-input two-output system with strongly coupled interconnections. Takagi-Sugeno(T-S) fuzzy systems are used to deal with the unknown system uncertainties. Combining “dynamic surface control(DSC)”approach with “minimal learning parameters(MLP)” algorithm, a novel decentralized robust adaptive control scheme with simple structure and lightened computation load is developed, which is easy to be implemented in applications with only one online-learning parameter in each subsystem and guaranteed stability. In addition, the potential controller singularity problem is removed. Simulation results for balancing the DIP system validate the effectiveness and excellent transient performance of the proposed scheme.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126742347","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: 1
A KNN classifier with PSO feature weight learning ensemble 基于PSO特征权值学习集成的KNN分类器
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565252
Qinghua Cao, Yu Liu
{"title":"A KNN classifier with PSO feature weight learning ensemble","authors":"Qinghua Cao, Yu Liu","doi":"10.1109/ICICIP.2010.5565252","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565252","url":null,"abstract":"Feature selection and weighting are normally ways to improve KNN classification algorithm. In this paper, we use the reverse cloud algorithm to map the training samples into clouds. Each attribute is mapped to a cloud vector. Reverse cloud algorithm is not sensitive to the noise on data sets and it can eliminate the impact of noise on classification effectively. By comparing the similarity of clouds in the cloud vector, we can find out a fitness function to measure the feature weighting results. The weighting process is a typical optimizing problem. We present a KNN algorithm based on PSO feature weight learning and compare our approach with classic KNN algorithms and other well-known improved KNN algorithms on 10 data sets. Experiments show that our approach could achieve a better or at least a comparable classification accuracy with other algorithms.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114444730","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: 6
Particle swarm-differential evolution cooperative optimized particle filter 粒子群-差分进化协同优化粒子滤波
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565259
Zengshun Zhao, Ji-Zhen Wang, Qing-Ji Tian, Maoyong Cao
{"title":"Particle swarm-differential evolution cooperative optimized particle filter","authors":"Zengshun Zhao, Ji-Zhen Wang, Qing-Ji Tian, Maoyong Cao","doi":"10.1109/ICICIP.2010.5565259","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565259","url":null,"abstract":"In this paper, an algorithm, a particle filter algorithm optimized by combination of particle swarm and differential evolution, is proposed. Cooperative evolution model helps to produce the reasonable problem decompositions by exploiting any correlation, interdependency between components of the problem. Particle swarm optimization and differential evolution are used to evolve interactively to drive all the particles to the neighborhood regions where the likelihoods are high. The experiments demonstrate the novel particle filter is more effective.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114190086","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: 5
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信