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2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

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Stable Distributed Nonlinear Filters Design with Homologous Unknown Inputs 具有同源未知输入的稳定分布非线性滤波器设计
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023712
Changqing Liu, Hao Zhang, K. Fu, Shu Liu
{"title":"Stable Distributed Nonlinear Filters Design with Homologous Unknown Inputs","authors":"Changqing Liu, Hao Zhang, K. Fu, Shu Liu","doi":"10.1109/YAC57282.2022.10023712","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023712","url":null,"abstract":"This study proposes a distributed filter for nonlinear multi-agent system. The unscented Kalman filter (UKF) is adopted to establish the estimation. Compared with the previous research, this paper proposes a more practical model for industrial. The neighbors’ information of the homologous UIs are adopted to estimate the homologous UIs. The stochastic stability of the UKF-based distributed filter is analyzed. The simulation part, a adopted to validate the method.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134307116","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
Learning from coarsely-labeled images for semantic segmentation 从粗糙标记的图像中学习语义分割
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023665
Kan Li, Cuiwei Liu, Chong Du, Zhuo Yan, Zhaokui Li, Xiangbin Shi
{"title":"Learning from coarsely-labeled images for semantic segmentation","authors":"Kan Li, Cuiwei Liu, Chong Du, Zhuo Yan, Zhaokui Li, Xiangbin Shi","doi":"10.1109/YAC57282.2022.10023665","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023665","url":null,"abstract":"Image segmentation aims to assign a semantic label to each pixel of an image and thus requires accurate pixel-wise annotations of massive images to train high-performance models. This paper aims to alleviate the arduous annotations by learning from coarser polygonal annotations that can be acquired at a lower cost. A novel self-training framework is proposed to build a robust semantic segmentation model in the presence of noisy labels. A superpixel-based relabeling strategy is developed to refine the original annotations according to the local context. Then multiple segmentation models are trained on the revised annotations and produce multiple pseudo labels for model re-training. Finally, a new segmentation model is re-trained by fusing multiple pseudo-labels in terms of their confidences. Experimental results on the Cityscapes dataset demonstrate the effectiveness of the proposed method.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133856584","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
An Event-trigger Optimization Framework for Congestion Management 面向拥塞管理的事件触发优化框架
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023595
Jianxin Li, Weiqin Fan, Qingqiang Huang, Lele Zhang, Xiuhan Lin, Xiaoting Yang
{"title":"An Event-trigger Optimization Framework for Congestion Management","authors":"Jianxin Li, Weiqin Fan, Qingqiang Huang, Lele Zhang, Xiuhan Lin, Xiaoting Yang","doi":"10.1109/YAC57282.2022.10023595","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023595","url":null,"abstract":"This paper proposed an event-triggered framework to solve network congestions caused by microgrids (MGs) in regional distributed networks. Two processes are included in this framework: congestion validation process and power rescheduling process. In order to relieve the computation burden, rescheduling process is triggered only when congestions are detected in congestion validation process. DC optimal power flow based optimization model is used to describe congestion validation process. And then power rescheduling process can be formulated distributed optimization problem for multiple microgrids, which can be solved by the alternating direction method of multipliers (ADMM) algorithm. Finally, simulations are implemented to illustrate the reasonability and effectiveness of the proposed framework. Results show that the proposed framework could effectively solve the congestions with transaction diversity guaranteed.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"111 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113993","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
Real-time detection of transmission line insulator defects based on improved YOLOv5 model 基于改进YOLOv5模型的输电线路绝缘子缺陷实时检测
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023837
Weifeng Xu, Bin Yu, L. Weng, Deqiang Lian, Jie Chen, Xiaowei Zhu
{"title":"Real-time detection of transmission line insulator defects based on improved YOLOv5 model","authors":"Weifeng Xu, Bin Yu, L. Weng, Deqiang Lian, Jie Chen, Xiaowei Zhu","doi":"10.1109/YAC57282.2022.10023837","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023837","url":null,"abstract":"Since insulators play an essential part in transmission lines, insulator defect detection could be an important assignments for intelligent inspection of high-voltage transmission lines. In this paper, an improved YOLOv5 algorithm for insulator defect detection task for aerial images with various backgrounds is proposed. We use collected aerial images of insulators with one or more defects in different scenarios, perform data augmentation of exposure and noise on the images to expand the sample (expanded to 2125 images), and establish a dataset by combining aerial images of normal working insulators. By adjusting the CSP(Cross-Stage-partial-connections) and CBL(Convalution-BatchNorm-Leaky_relu) modules in the YOLOv5 model to change the depth and width of the model, change model parameters, and build five different scale YOLOv5 models to further meet the real-time task. ResNet and DarkNet are used for the transfer learning of the YOLOv5 model, and various optimization methods are used in the Backbone structure, Neck structure and output of the model, then the established data set is trained and tested on each YOLOv5 model. Among them, the YOLOv5n model has the fastest detection speed, which can reach 10ms, and the precision also reaches 95%. The YOLOv5x model has the highest precision, reaching 97%, and the detection speed is 21ms. These models are all able to satisfy the accuracy and real-time mission in the process of aerial photography and analysis among which YOLOv5n can achieve lightweight tasks while being efficient enough.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114695728","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
Effluent ammonia nitrogen prediction of wastewater treatment process via Tikhonov regularized echo state network 基于吉洪诺夫正则化回波状态网络的污水处理过程出水氨氮预测
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/yac57282.2022.10023746
Lei Wang, Jing Zhao, Zhiqiang Hu, Yaping Li
{"title":"Effluent ammonia nitrogen prediction of wastewater treatment process via Tikhonov regularized echo state network","authors":"Lei Wang, Jing Zhao, Zhiqiang Hu, Yaping Li","doi":"10.1109/yac57282.2022.10023746","DOIUrl":"https://doi.org/10.1109/yac57282.2022.10023746","url":null,"abstract":"To predict the effluent ammonia nitrogen $(NH_{4}-N)$, a Tikhonov regularized echo state network (TRESN) is proposed. TRESN uses the Tikhonov regularization method instead of linear regression to train the model, and transforms the selection of Tikhonov regularization parameters into a statistical inference of hyperparameters. The simulation results show that TRESN can well solve effluent $NH_{4}-N$ prediction compared with other ESNs, also has higher prediction accuracy and generalization ability.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747309","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 SOC estimation method based on Improved Fuzzy Broad Learning System 基于改进模糊广义学习系统的SOC估计方法
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023776
Junhao Chen, Chunxi Li, Xiang Li, Quanbo Ge
{"title":"A SOC estimation method based on Improved Fuzzy Broad Learning System","authors":"Junhao Chen, Chunxi Li, Xiang Li, Quanbo Ge","doi":"10.1109/YAC57282.2022.10023776","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023776","url":null,"abstract":"In this paper, FBLS is used as the base model and Grasshopper optimization Algorithm algorithm(GOA) is used to find the optimal initial weight of Fuzzy Broad Learning System(FBLS). On the basis of finding the initial center of membership function, K-means algorithm is improved by using local density and local probability theory to find the optimal initial clustering center, so that the algorithm can be more accurate. According to the disadvantage that Grasshopper optimization Algorithm(GOA) is not easy to converge and jump out of the global optimization, the algorithm is improved by using the sine cosine theory, and the algorithm search is more comprehensive by improving the parameter Rl. The experimental simulation shows that the error of the improved SC-GOA-FBLS is significantly lower than that of GOA-FBLS,PSO-BP and FBLS.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123089223","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
Rotor Modal Suppression in Active Magnetic Bearing System Based on Frequency-Locked-Loop Filter 基于锁频环滤波器的主动磁轴承转子模态抑制
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023857
Xuesheng Han, Peng Tan, Shitong Wei, Shiqiang Zheng
{"title":"Rotor Modal Suppression in Active Magnetic Bearing System Based on Frequency-Locked-Loop Filter","authors":"Xuesheng Han, Peng Tan, Shitong Wei, Shiqiang Zheng","doi":"10.1109/YAC57282.2022.10023857","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023857","url":null,"abstract":"Modal vibration of rotor seriously affects stability of magnetic bearing system. Once the rotor mode is excited, the vibration intensifies, which is easy to lead to the saturation of the power amplifier and further instability of the rotor system. The paper investigates a rotor modal suppression method based on frequency-locked-loop filter. The dynamic model of single-degree-of-freedom rotor is established. A frequency-locked-loop filter is added to the closed loop control system to estimate the modal frequency and suppress modal vibration. The proposed frequency locked loop can estimate all components of biased sinusoidal signals. Simulation results verify the effectiveness of the proposed method for rotor modal suppression.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123732923","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
State estimation of genetic regulatory networks under new dynamic event-triggered mechanism 新的动态事件触发机制下基因调控网络的状态估计
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023723
Rehman Fazal, You Wu, Xingyu Tang, Xiongbo Wan
{"title":"State estimation of genetic regulatory networks under new dynamic event-triggered mechanism","authors":"Rehman Fazal, You Wu, Xingyu Tang, Xiongbo Wan","doi":"10.1109/YAC57282.2022.10023723","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023723","url":null,"abstract":"In this article, we investigate the state estimation problem for discrete-time genetic regulatory networks with timevarying delays and Markovian jumping parameters. A new dynamic event-triggered mechanism is developed to adjust the measurement data releases. A new Markovian chain model is proposed to describe the parameter jumping, of which the transition probabilities are dependent on another stochastic variable with known sojourn probabilities. To ensure stochastic stability with disturbance attenuation level $gamma$, a proper Lyapunov functional is designed, and certain conditions are given. In terms of the solutions to various matrix inequalities, the desired estimator parameters are derived. Finally, a simulation example is employed to demonstrate the effectiveness of the event-triggered state estimation techniques described in this paper.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123064372","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
Search-based Trajectory Planning with Motion Primitives for Quadrotors Using Pruning A* Algorithm 基于搜索的四旋翼飞行器运动基元轨迹规划
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023615
Yan Jingyu, Ma Jianjun
{"title":"Search-based Trajectory Planning with Motion Primitives for Quadrotors Using Pruning A* Algorithm","authors":"Yan Jingyu, Ma Jianjun","doi":"10.1109/YAC57282.2022.10023615","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023615","url":null,"abstract":"In this paper, a trajectory planning method based on pruning A* with motion primitives is proposed for quadrotors. First, the motion planning problem for quadrotors is formulated as an optimization problem and the control space is discretized uniformly to obtain motion primitives with the consideration of quadrotor’s dynamics. Secondly, a Pruning A* algorithm with high search efficiency is designed to find the suboptimal and free-collision trajectory. Furthermore, the constraint of Field of View (FOV) is considered in order to be applied into practice. Finally, the simulation results show the effectiveness of the proposed methods.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126174754","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
Research on global path planning method based on improved ant colony algorithm 基于改进蚁群算法的全局路径规划方法研究
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023633
Xiaoxiao Liu, Guangqiang Gong, Tao Xu, Mengyuan Chen
{"title":"Research on global path planning method based on improved ant colony algorithm","authors":"Xiaoxiao Liu, Guangqiang Gong, Tao Xu, Mengyuan Chen","doi":"10.1109/YAC57282.2022.10023633","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023633","url":null,"abstract":"In mobile robot navigation, the design of path planning algorithms is a key issue, because the fast and efficient work of mobile robots must rely on reasonable and reliable path planning algorithms. The ant colony method is used to study the path planning of mobile robots in this work. The mathematical model of various ant colony method parameters has been updated and optimized. The direction guiding factor is introduced to avoid the blindness of the traditional ant colony algorithm. An adaptive pheromone updating rule was proposed to improve the disadvantages of the traditional ant colony algorithm, which is easy to fall into premature and outputs local optimum. The adaptive adjustment pheromone volatile factor is adaptively to make the algorithm level more distinct, highlight the task focus of each stage, and consider the quality and efficiency of the path planning. Finally, complex and open environment maps are designed, and simulation experiments are carried out to verify the advance of the improved algorithm in the path planning distance and convergence speed.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128063146","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
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