Fifth International Conference on Intelligent Control and Information Processing最新文献_第9页

Improved product error-correction scheme for optical recording systems 改进的光学记录系统产品纠错方案

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010310

Bingrui Wang, Xiaofei Yang, Xingzhong Yao, Hongzhi Zhang, Yue Zhang

引用次数: 0

Ratio- and distribution-metric-based active contours for SAR image segmentation 基于比例和分布度量的SAR图像分割活动轮廓

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010344

S. Tu, Yu Li, Yi Su

{"title":"Ratio- and distribution-metric-based active contours for SAR image segmentation","authors":"S. Tu, Yu Li, Yi Su","doi":"10.1109/ICICIP.2014.7010344","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010344","url":null,"abstract":"A novel active contour model driven by local and global intensity fitting energy is proposed in this paper. The model overcomes the defect of some well-known active contour models which tend to fall into local minimums in SAR (synthetic aperture radar) image segmentation. Firstly, a new ratio distance, which measures the relativity between two speckle-image patches, is defined by using the probability density functions of the regions inside and outside the contours. Then, a new image energy functional is computed with the ratio distance, and the region intensity fitting functions of CV (Chan and Vese) active contour model are replaced by the new image energy function. Finally, the proposed model is constructed based on the combination of the improved CV model and RSF (region-scalable fitting) model by linear weights. The model makes the contour evolution more efficient with the LIF (local intensity fitting) force and the GIF (global intensity fitting) force, which are respectively provided by the RSF model and the improved CV model. SAR image segmentation results validate the effectiveness of the proposed model.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132818367","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

Neural network-based near-optimal control for nonlinear discrete-time zero-sum differential games associated with the H∞ control problem 非线性离散零和微分对策的神经网络近最优控制与H∞控制问题

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010275

C. Qin, Yingchun Wang, Yanhong Luo, Huaguang Zhang

{"title":"Neural network-based near-optimal control for nonlinear discrete-time zero-sum differential games associated with the H∞ control problem","authors":"C. Qin, Yingchun Wang, Yanhong Luo, Huaguang Zhang","doi":"10.1109/ICICIP.2014.7010275","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010275","url":null,"abstract":"In this paper, we will present a new method to solve online the Hamilton-Jacobi-Isaacs (HJI) equation appearing in the two-player zero-sum differential game of the nonlinear system. First, an online parametric structure is designed by using a neural network to approximate the value function associating with the two-player zero-sum differential game. Second, online approximator-based controller designs are presented by using two neural networks to find (saddle point) equilibria. Third, Novel weight update laws for the critic, action and disturbance networks are given, and all parameters are tuned online. Fourth, it is shown that the system state, all neural networks weight estimation errors are uniformly ultimately bounded by using Lyapunov techniques. Further, it is shown that the output of the action network approaches the optimal control input with small bounded error and the output of the disturbance network approaches the worst disturbance with small bounded error and. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132245467","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 research of heat supply monitoring system based on the Internet of things 基于物联网的供热监控系统研究

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010325

Siyuan Wang, Qi Cai, Wenbiao Wang, Xudong Wang

引用次数: 1

Hopf bifurcation and nonlinear state feedback control for a modified Lotka-Volterra differential algebraic predator-prey system 一类改进Lotka-Volterra微分代数捕食-食饵系统的Hopf分岔与非线性状态反馈控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010345

M. Li, Boshan Chen, Gan Wang, Zhenwei Li, W. Liu

引用次数: 5

Optimal control of the raw slurry blending process based on the model and neural network 基于模型和神经网络的料浆混合过程优化控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010354

Rui Bai, Yumei Liu

引用次数: 0

Robust decentralized load frequency control of multi-area power system via performance limitations using LMIs 基于lmi的性能限制下多区域电力系统鲁棒分散负荷频率控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010323

Seyedeh Mina Mola, M. Jahed-Motlagh

引用次数: 7

PID Controller tuning based on differential forward 基于差分正演的PID控制器整定

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010287

Xuejun Pan, Meng Zhang

引用次数: 0

The active disturbance rejection control with feed-forward compensation for hydraulic pump controlled motor speed system 液压泵控制电机调速系统的前馈补偿自抗扰控制

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010329

Sai Ning, Shuhua Zheng, Xiangzhou Wang

引用次数: 2

Modeling of ship manoeuvring motion using optimized support vector machines 基于优化支持向量机的船舶操纵运动建模

Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010302

W. Luo, Wenlong Cai

引用次数: 3