发布求助
文献互助 智能选刊 最新文献

2021 33rd Chinese Control and Decision Conference (CCDC)最新文献

筛选
英文 中文
A robust target intention recognition method based on dynamic bayesian network 一种基于动态贝叶斯网络的鲁棒目标意图识别方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602205
Qunli Xiao, Yuanna Liu, Xinyang Deng, Wen Jiang
{"title":"A robust target intention recognition method based on dynamic bayesian network","authors":"Qunli Xiao, Yuanna Liu, Xinyang Deng, Wen Jiang","doi":"10.1109/CCDC52312.2021.9602205","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602205","url":null,"abstract":"The enemy's tactical intention is one of the important basis for the commander's decision. The accuracy and timeliness of the judgment of the enemy's tactical intention will directly affect the correctness and effectiveness of our combat command decisions. In this paper, a robust target intention recognition method based on dynamic bayesian network is proposed. Self-organizing feature maps is introduced to preprocess the track information to estimate the stable heading of the target and various characteristic factors related to the air target combat intention are integrated to construct a dynamic bayesian network model for the recognition of the enemy's target intention. In the simulated air combat scene, the proposed method can effectively realize combat intention recognition.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784741","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
Signal Coordination Control of Intersection Adjacent to Main Road Based on Hybrid Automata* 基于混合自动机的主干道相邻交叉口信号协调控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601712
Minan Tang, Qianqian Wang, Kaiyue Zhang, Jiandong Qiu, Yajiang Du, Aimin An, Chenyu Wang
{"title":"Signal Coordination Control of Intersection Adjacent to Main Road Based on Hybrid Automata*","authors":"Minan Tang, Qianqian Wang, Kaiyue Zhang, Jiandong Qiu, Yajiang Du, Aimin An, Chenyu Wang","doi":"10.1109/CCDC52312.2021.9601712","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601712","url":null,"abstract":"In order to alleviate the congestion of urban road network, the dynamic characteristics of the hybrid automaton model were analyzed in depth. According to the dynamic characteristics of phase difference of green wave between adjacent intersections, an improved hybrid system model of traffic signal optimization and coordination control was proposed through taking the minimum queue length of vehicles in each phase of an intersection within one signal period as performance index, so as to find the optimal phase conversion order and optimal green signal ratio for the coordinated control of traffic signals at two adjacent intersections under dynamic traffic conditions. Taking the intersection of Qingyang Road and Yongchang Road in Lanzhou City to the intersection of Qingyang Road and Jiuquan Road as the research object, the simulation results verify the effectiveness of the proposed method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428818","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 method of computing winning probability for Texas Hold'em poker 计算德州扑克获胜概率的方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601881
Zhang Xiaochuan, Du Song, Zhao Hailu, Liu He, Wu Fan
{"title":"A method of computing winning probability for Texas Hold'em poker","authors":"Zhang Xiaochuan, Du Song, Zhao Hailu, Liu He, Wu Fan","doi":"10.1109/CCDC52312.2021.9601881","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601881","url":null,"abstract":"Texas Hold'em poker is one of the most popular card games in computer games. Most of the times hand evaluation is necessary for computing hand strength which is also called winning probability. We need to traverse all combinations of cards to get the accurate hand strength in conventional approach. Usually Monte Carlo simulation or look-up table could reduce the computation. To improve efficiency, this paper propose an algorithm for poker hand classification and introduce linear regression to calculate the approximate effective hand strength. Firstly getting the classifying result of 5 cards or 6 cards, then generating feature vector through data preprocessing, at last the predictive value of the effective hand strength calculated by the linear regression equation. The experiment results show that the average absolute error between the predicted value and the label is 0.034. Compared with the traditional evaluation approach, our method is more effective to computing winning probability without lookup table.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126628766","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
Parameter Adjustment Method of Kalman Filter Based on Quadratic Curve Fitting 基于二次曲线拟合的卡尔曼滤波参数调整方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602678
Xinli Xiong, Kuan Wang, Jianbin Chen, Tao Li, Haoyun Deng, Fan Ren
{"title":"Parameter Adjustment Method of Kalman Filter Based on Quadratic Curve Fitting","authors":"Xinli Xiong, Kuan Wang, Jianbin Chen, Tao Li, Haoyun Deng, Fan Ren","doi":"10.1109/CCDC52312.2021.9602678","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602678","url":null,"abstract":"This paper proposes a method for adjusting parameters of Kalman filter based on quadratic curve fitting. Among them, the two main processes of the Kalman filter parameter adjustment are to obtain the true value of the target and how to fit the observation noise in the Kalman filter based on the quadratic curve. First of all, this paper realizes the installation and calibration of the sensor based on the installation characteristics of the sensor. Secondly, it realizes the transformation between the sensor coordinate system and the reference coordinate system based on the stereo calibration principle in computer vision, and uses Real-Time-Kinematic (RTK) to obtain the real position of the target in the scene. Then the observation noise in the Kalman filter is fitted based on the quadratic curve, and the Kalman filter parameters are adjusted based on the observation noise. Finally, the effectiveness of the method proposed in this paper is verified based on qualitative and quantitative methods. Experimental results show that the method proposed in this paper can effectively realize real-time Kalman filter parameter adjustment.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756609","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
Robust Partial-state Feedback Attitude Control for Tracking Tumbling Target 跟踪翻滚目标的鲁棒部分状态反馈姿态控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602494
Qi Li, Jinyuan Wei, Xueping Wang, Qiuxiong Gou, Zhiqi Niu
{"title":"Robust Partial-state Feedback Attitude Control for Tracking Tumbling Target","authors":"Qi Li, Jinyuan Wei, Xueping Wang, Qiuxiong Gou, Zhiqi Niu","doi":"10.1109/CCDC52312.2021.9602494","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602494","url":null,"abstract":"This paper investigates the partial-state feedback attitude control problem of tracking an uncontrolled tumbling target in the presence of external disturbances and control input saturation. Firstly, a nonlinear relative attitude motion model is presented, and a dead-zone operator based model is investigated to describe the input saturation phenomenon. Subsequently, a novel model-assisted extended state observer is established to estimate the unmeasured states and the lumped uncertainties. Then, by combining the extended state observer technique with sliding mode methodology, an output-feedback anti-saturation control strategy that removes the need for full-state measurements between the two spacecrafts is proposed. Within the Lyapunov framework, the proposed control strategy is able to guarantee that the relative attitude errors can converge to small regions containing the origin. Finally, numerical simulations are performed to demonstrate the effectiveness of the presented control strategy.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114920444","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
Non-singular Fast Terminal Sliding Mode Tracking Control of a 2-DOF Robotic Manipulator Using Finite-Time Extended State Observer 基于有限时间扩展状态观测器的2自由度机器人非奇异快速末端滑模跟踪控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601551
Yiting Zhu, Di Wu, Shihua Li
{"title":"Non-singular Fast Terminal Sliding Mode Tracking Control of a 2-DOF Robotic Manipulator Using Finite-Time Extended State Observer","authors":"Yiting Zhu, Di Wu, Shihua Li","doi":"10.1109/CCDC52312.2021.9601551","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601551","url":null,"abstract":"This paper studies the position tracking control of rigid robotic manipulators under the circumstance of parameter uncertainties and external time-varying disturbances. For the 2-DOF rigid manipulator, a non-singular fast terminal sliding mode control (NFTSMC) scheme is employed based on a finite-time extended state observer (FTESO) to improve both the dynamic response and the disturbance rejection performance. The NFTSMC method is employed to evade the singularity of conventional terminal sliding mode control method and speed up the state reaching the sliding surface. The FTESO can observe the lumped disturbances in finite time and perform forward compensation to attenuate the chattering phenomenon of sliding mode control. The closed-loop system stability is demonstrated rigorously based on the Lyapunov theory. Comparative simulation results are given to prove the superiority of the proposed method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115014913","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
IFCM clustering segmentation based on genetic algorithm 基于遗传算法的IFCM聚类分割
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602656
Meiju Liu, Xiaozheng Yu, Yixuan Shi
{"title":"IFCM clustering segmentation based on genetic algorithm","authors":"Meiju Liu, Xiaozheng Yu, Yixuan Shi","doi":"10.1109/CCDC52312.2021.9602656","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602656","url":null,"abstract":"In the early diagnosis of breast cancer(BC), computer aided design (CAD) is particularly important, and the accurate detection of breast mass in mammography plays an important role Objective: In order to distinguish the mass region from other background regions, an effective segmentation scheme was proposed in Mammographic Image Analysis Society (MIAS) segmentation Methods: First, the initial clustering center of intuitionistic fuzzy C-means (IFCM) is determined by genetic algorithm (GA), and then the image is segmented by IFCM algorithm to turn the random initial clustering center into a purpose-selected one, so as to ensure the optimal result of the final clustering center results: The average segmentation precision of MIAS.I images with noise level of 5%,7% and 9% were 90.15% and 86.85% and 87.31%. Conclusion: This method combines the advantages of the two algorithms to segment the location of mass more accurately and quickly.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115557996","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
An Improved Calibration Method for Stereo Fisheye Vision 一种改进的立体鱼眼视觉标定方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602138
Chengtao Cai, Renjie Qiao
{"title":"An Improved Calibration Method for Stereo Fisheye Vision","authors":"Chengtao Cai, Renjie Qiao","doi":"10.1109/CCDC52312.2021.9602138","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602138","url":null,"abstract":"The fisheye stereo vision system has been widely studied as primary vision sensors in the field of robot vision because of its wide view of scene. However, currently, serious image distortion has delayed its further development. To remedy this, the paper focuses on the calibration and distortion correction for stereo fisheye system. And then an improved, specialized and systematic calibration method named Stereo Fisheye Calibration Method (SFCM) will be proposed to calibrate the parameters and correct the image distortion of the fisheye stereo vision. The SFCM is introduced by the following two aspects. Firstly, a precise mathematical model based on the law of fisheye lens imaging is established, which assumes that the imaging function can be described by a general polynomial approximation. Secondly, a simple five-point calibration algorithm was implemented to find the possible solutions for relative camera pose between two calibrated views. And then a nonlinear refinement based on the maximum likelihood for internal and external parameters was carried out with Levenberg-Marquarat (LM) algorithm. Finally, using real data captured by equipment, we performed experiments covering all the necessary stages to obtain a high-performance stereo fisheye vision system. The correctness and effectiveness of the proposed method are demonstrated with the statistical analyses of the experimental results.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116232220","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
Robust time-varying Kalman predictor for uncertain singular system with missing measurement 不确定缺失测量奇异系统的鲁棒时变卡尔曼预测器
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602514
Jiayi Zheng, C. Ran
{"title":"Robust time-varying Kalman predictor for uncertain singular system with missing measurement","authors":"Jiayi Zheng, C. Ran","doi":"10.1109/CCDC52312.2021.9602514","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602514","url":null,"abstract":"For the linear stochastic singular system with missing measurement and uncertain noise variances, the robust Kalman prediction problem is addressed. Applying the singular value decomposition (SVD) method and the fictitious noise approach, the original singular system is transformed to new reduced-order standard system only with uncertain-variance fictitious noises. Applying the minimax robust estimation principle, the minmax robust time-varying Kalman predictor is presented in the sense that its actual prediction error variance is guaranteed to have the corresponding minimal upper bound for all admissible uncertainties. Its robustness is proved by the Lyapunov equation approach. A simulation example about circuits system verifies the correctness and effectiveness of the proposed results.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356564","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
Non-fragile consensus for uncertain fractional-order nonlinear multi-agent systems with state time delay 具有状态时滞的不确定分数阶非线性多智能体系统的非脆弱一致性
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601892
Xiaomin Li, Liping Chen, Yu Chen, Wenliang Guo, Changcheng Xu
{"title":"Non-fragile consensus for uncertain fractional-order nonlinear multi-agent systems with state time delay","authors":"Xiaomin Li, Liping Chen, Yu Chen, Wenliang Guo, Changcheng Xu","doi":"10.1109/CCDC52312.2021.9601892","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601892","url":null,"abstract":"The problem of non-fragile consensus for nonlinear fractional-order multi-agent systems (FOMAS) with state time delay is investigated in this paper. The structured uncertainties occur in both the plant and the controller. By using the linear matrix inequality approach and the fractional-order Razumikhin theorem, a delay- and order-dependent consensus protocol is obtained. The proposed results can be applied to linear FOMASs, and the proposed analysis can be extended to different kinds of consensus problems for various FOMAS.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122956147","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
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