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

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A Time Series Classification Method Based on 1DCNN-FNN 基于1DCNN-FNN的时间序列分类方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602164
Zhao Zihao, Jie Geng, Wen Jiang
{"title":"A Time Series Classification Method Based on 1DCNN-FNN","authors":"Zhao Zihao, Jie Geng, Wen Jiang","doi":"10.1109/CCDC52312.2021.9602164","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602164","url":null,"abstract":"With the rise of deep learning technology, the use of one-dimensional convolutional neural network (1DCNN) to process time series has the advantages of higher classification accuracy and stronger generalization ability. However, the 1DCNN constructs a classification model by identifying the feature vector of the data distribution, which lacks the reasoning ability on digital features. Because Fuzzy Neural Network (FNN) combines fuzzy inference with neural network and has stronger ability of fuzzy information inference, this paper proposes a hybrid classification model combining 1DCNN and FNN. The hybrid model uses 1DCNN and FNN models to process two kinds of feature information separately and effectively merge them on the fully connected layer. In this paper, WISDM data set is used to train and test the proposed 1DCNN-FNN hybrid classification model, and the results are compared with the results of the 1DCNN model. Experimental results show that the proposed method has better classification effect.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"19 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":"117015353","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
Neural Network-Based ADP Cotrol for Nonliear Systems with Prescribed Performance Constriant 给定性能约束非线性系统的神经网络ADP控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602709
Can Ding, Jing Zhang, Yingjie Zhang, Zhe Zhang, Xiaoyao Li
{"title":"Neural Network-Based ADP Cotrol for Nonliear Systems with Prescribed Performance Constriant","authors":"Can Ding, Jing Zhang, Yingjie Zhang, Zhe Zhang, Xiaoyao Li","doi":"10.1109/CCDC52312.2021.9602709","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602709","url":null,"abstract":"In this paper, the trajectory tracking control problem of nonlinear system with prescribed performance constraint was discussed. adaptive dynamic programming (ADP) is investigated to solve the problem. By introducing the constraint transformation, which is used to convert the constrained system into unconstrained one, and prescribed performance function (PPF), the steady and transient performance of closed-loop system are guaranteed. After obtained the unconstrained system, a critic network is proposed to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation. Then an optimal control was developed. Throughout the Lyapunov theory, the update laws of critic network was obtained and the stability of closed loop control system was proved. Finally, a simulation experiment was carried out to validate the effectiveness of the proposed method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"22 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":"117087340","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 adaptive control of UAV 无人机鲁棒自适应控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601561
Guobing Zhang, Guan Tong, Pengyun Chen
{"title":"Robust adaptive control of UAV","authors":"Guobing Zhang, Guan Tong, Pengyun Chen","doi":"10.1109/CCDC52312.2021.9601561","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601561","url":null,"abstract":"Aiming at the problems of UAV dynamic modeling error and flight interference, robust control algorithm is introduced in this paper. Based on the establishment of UAV motion equation, the state equation of robust control is obtained by linearization, then the weight function is selected and the controller is designed. MATLAB simulation results show that Compared with PI control, robust longitudinal control of UAV has the characteristics of fast response, small overshoot, short adjustment time and insensitive to modeling error, which shows good control performance.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"20 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":"129718781","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
A dimension reduction guidance method for orbital pursuit-evasion games 一种轨道追逃博弈的降维制导方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602556
Cheng-ming Zhang, Yanwei Zhu, Le-ping Yang, Weiwei Cai
{"title":"A dimension reduction guidance method for orbital pursuit-evasion games","authors":"Cheng-ming Zhang, Yanwei Zhu, Le-ping Yang, Weiwei Cai","doi":"10.1109/CCDC52312.2021.9602556","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602556","url":null,"abstract":"Improving on-orbit service techniques with non-cooperative spacecraft is attracting more and more scholars' attention. The free time orbital pursuit-evasion problem is a typical problem in this field. Generally, solving the orbital pursuit-evasion game results in solving a 24-dimension two points boundary value problem which is really complicated with such high dimension and the numerical methods used to obtain the solution is sensitive to the initial estimate of the costates. To overcome the weaknesses, this paper presents a dimension reduction guidance method to transform the free-time orbital pursuit-evasion game into a 3-dimension parameters optimization problem based on the costate normalization technique where each of the parameters needs to be optimized has a strict boundary. Comparing to the previous methods, the decrease of the dimension and the boundary of the parameters reduce the searching space together. The simulation results and the statistical analysis demonstrate that this method is efficient and it improves the computation consumption 67.7% comparing with the classical genetic algorithm.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"16 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":"129725336","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
Image-based Visual Servoing of Unmanned Aerial Vehicles for Variable Angle Target 基于图像的无人机变角度目标视觉伺服
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601370
Xuefei Wang, Yizhen Yin, Hongjun Ma, Hua Bai
{"title":"Image-based Visual Servoing of Unmanned Aerial Vehicles for Variable Angle Target","authors":"Xuefei Wang, Yizhen Yin, Hongjun Ma, Hua Bai","doi":"10.1109/CCDC52312.2021.9601370","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601370","url":null,"abstract":"This paper presents a double virtual plane method for a quadrotor unmanned aerial ve- hicle(U AV) using a monocular camera and an inertial measurement unit sensor(IMU). Using the above method and an image-based visual servoing controller, the U A V can achieve the tracking of the target both on the horizontal plane and on the inclined plane. Utilizing the image moments, the image features are defined and and adopted by the IBVS controller. The inclination angle of the target plane can be obtained through the image distortion in the horizontal virtual image plane. The closed-loop system is proved globally asymptotic stable by means of Lyapunov analysis. And the simulation of the method is completed, which can be used to prove the correctness and stability of the theory.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"33 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":"128471823","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
Reliability Modeling of Dependent Competitive Failure with Continuous Degradation and Random Shocks 具有连续退化和随机冲击的依赖竞争失效可靠性建模
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602725
Jialin Ma, Guo Xie, Lingxia Mu, Jing Xin, Wenbin Chen, Anqi Shangguan, Haitao Duan
{"title":"Reliability Modeling of Dependent Competitive Failure with Continuous Degradation and Random Shocks","authors":"Jialin Ma, Guo Xie, Lingxia Mu, Jing Xin, Wenbin Chen, Anqi Shangguan, Haitao Duan","doi":"10.1109/CCDC52312.2021.9602725","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602725","url":null,"abstract":"Based on the reliability analysis of correlated competitive risk systems with degradation processes and stochastic shocks, a dependent competitive failure model considering time-varying soft failure threshold is proposed The failure process includes soft failure caused by continuous degradation and hard failure caused by random impact. In complex equipment, when the system degrades faster due to performance degradation, the soft failure threshold of the system will decrease with the degradation of system performance. In this study, a time-varying soft failure threshold dependent competitive failure model is proposed. Through the numerical analysis of a micromotor, the reliability of the system is overestimated to a certain extent by comparing the models without considering the change of soft failure threshold.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"13 4 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":"128964042","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
Boundedness and Exponential Stability of Neutral-type Stochastic Hybrid Systems 中性型随机混合系统的有界性和指数稳定性
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601641
Jun Zhou, Jian Zhang, Wuneng Zhou, Dongbing Tong
{"title":"Boundedness and Exponential Stability of Neutral-type Stochastic Hybrid Systems","authors":"Jun Zhou, Jian Zhang, Wuneng Zhou, Dongbing Tong","doi":"10.1109/CCDC52312.2021.9601641","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601641","url":null,"abstract":"Neutral-type stochastic hybrid systems, which not only depend on present and past states but also involve derivatives with delay, have been widely concerned. In recent years, exponential stability and boundedness have become two most popular topics in studies of neutral-type stochastic hybrid systems. In existing results, the Lyapunov function in different modes is bounded by the polynomials with the same order, and the diffusion operator acting on a C2,1-function is bounded by a polynomial with the same order of that C2,1-function. To break those limits, two general criteria which are more effective than existing criteria have been obtained in this paper.","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":"129309647","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
Fixed-time quadrotor trajectory tracking neural network backstepping control 固定时间四旋翼轨迹跟踪神经网络反步控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602534
Mingyu Wang, Xu Yuan, Bing Chen, Chong Lin, Yun Shang
{"title":"Fixed-time quadrotor trajectory tracking neural network backstepping control","authors":"Mingyu Wang, Xu Yuan, Bing Chen, Chong Lin, Yun Shang","doi":"10.1109/CCDC52312.2021.9602534","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602534","url":null,"abstract":"This paper aims at the trajectory tracking of a quadrotor. A novel fixed-time backstepping control design scheme is proposed for the quadrotor based on adaptive neural control approach. The suggested adaptive continuous controller ensures that the quadrotor well tracks the desired trajectory in fixed time in spite of appearance of model uncertainties. Finally, simulation results are given to verify the effectiveness of the proposed control strategy.","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":"129440575","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
A Student Action Recognition Algorithm Based on Adjusted Variational Auto Encoder 一种基于可调变分自编码器的学生动作识别算法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601627
Simin Li, Yaping Dai, Ye Ji, K. Hirota, Wei Dai
{"title":"A Student Action Recognition Algorithm Based on Adjusted Variational Auto Encoder","authors":"Simin Li, Yaping Dai, Ye Ji, K. Hirota, Wei Dai","doi":"10.1109/CCDC52312.2021.9601627","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601627","url":null,"abstract":"Student action recognition plays an important role in detecting students learning behaivor in online courses. In order to improve the accuracy of student action recognition in classroom, an algorithm based on Adjusted Variational Auto Encoder (AVAE) is proposed. By adjusting the traditional Variational Auto Encoder (VAE) method, the proposed algorithm can effectively extract the characteristic parameters of students from classroom video images, and then recognize the students' action. Experiments show that the proposed algorithm for student action recognition preforms better than traditional VAE algorithms with higher accuracy and convergence speed, and improves the recognition accuracy by 5.13% compared with traditional Convolutional Neural Network (CNN) method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"42 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":"130367079","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
Trajectory Tracking of a Quadrotor based on Gaussian Process Model Predictive Control 基于高斯过程模型预测控制的四旋翼飞行器轨迹跟踪
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602329
Chuan Peng, Yanhua Yang
{"title":"Trajectory Tracking of a Quadrotor based on Gaussian Process Model Predictive Control","authors":"Chuan Peng, Yanhua Yang","doi":"10.1109/CCDC52312.2021.9602329","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602329","url":null,"abstract":"Due to the nonlinearity and the susceptibility to wind disturbance in actual flight, it is difficult to obtain an accurate model of the quadrotor. In this paper, a trajectory tracking control method for quadrotor based on Gaussian Process (GP) Model Predictive Control (MPC) is proposed. First, a simplified dynamic model of quadrotor is established and the unmodeled dynamic system is learned by GP models. This data-driven modeling method not only makes the modeling more accurate, but also considers the model uncertainty with covariance. Then, according to the nominal and learned GP models, model predictive controllers are separately designed for the translation and rotation subsystem of the quadrotor to track the trajectory. Finally, simulation results demonstrate the effectiveness of the proposed approach.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"26 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":"130508882","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
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