{"title":"Robust stabilization of uncertain nonlinear networked control systems with packet dropouts and quantization","authors":"Luo Zhang, Qingxian Wu, Shixun Xiong","doi":"10.1109/YAC.2017.7967466","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967466","url":null,"abstract":"In this paper, the robust stabilization problem of uncertain networked control systems subject to packet dropouts and signal quantization. Random data packet dropouts in the channels are modeled as independent Bernoulli processes. Quantized signal measurement is handled by a sector-bound method, in which the quantization error is treated as sector-bounded uncertainty. Based on Lyapunov theory, a static feedback controller is obtained in terms of linear matrix inequality (LMI) to ensure the asymptotically stability of the closed-loop system. At last, a numerical simulation example is used to show the validity of the designed controller.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196470","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}
{"title":"Group consensus for a class of discrete-time heterogeneous multi-agent systems in directed topology","authors":"Bo Liu, Yanxin Zhang, Fang Liu, Yanping Gao","doi":"10.1109/YAC.2017.7967437","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967437","url":null,"abstract":"This paper considers the group consensus problem for a class of discrete-time heterogeneous multi-agent systems composed of first-order and second-order agents with directed topology. The discrete-time heterogenous multi-agent systems reaching group consensus is proved and the convergent points of such system are found. Finally, numerical examples are provided to demonstrate the effectiveness of the theoretical results.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114611651","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}
Yang Zhang, Y. Fan, C. Song, Chuanbao Dong, Lun Wang
{"title":"Multi-agent rendezvous control based on event-triggered mechanism","authors":"Yang Zhang, Y. Fan, C. Song, Chuanbao Dong, Lun Wang","doi":"10.1109/YAC.2017.7967515","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967515","url":null,"abstract":"In this paper, we apply the multi-agent system event-triggered control to the multi-agent rendezvous control, and design the multi-agent event-triggered controller. Meanwhile, we utilize the multi-agent system model that the state of all agents converge to the specified point based on the proportional transformation of the balance point of the original state of the agents. By selecting a suitable Lyapunov function, we prove that all the agents' position can converge to the desired rendezvous position. After that, an event-triggered control strategy for multi-agent rendezvous control is introduced. Simulation experiment is designed to test the rationality of the control strategy.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953319","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}
Bei Li, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Du Jiang
{"title":"A review of rehabilitation robot","authors":"Bei Li, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Du Jiang","doi":"10.1109/YAC.2017.7967538","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967538","url":null,"abstract":"This paper gives an overall review of research status in rehabilitation robot technology. In order to study the status of rehabilitation robot technology, they are divided into two categories. One of them is auxiliary and replacement robots and another is training and therapeutic robots. The fixed and mobile robots, intelligent artificial limbs and supporting tools of the auxiliary and replacement robot are introduced in detail. Their characteristics of light structure and fast response are elaborated and research status and existing problems with setting are indicated, then the function of rehabilitation robots is pointed out. The upper and limb rehabilitation robots of training and therapeutic robot are introduced and this kind of robots help the patient carry on the rehabilitation training to show their strong recovery function and achieve a function from replace to recovery. At the end of the paper, issues in the field of rehabilitation robotics research and their development in the future are discussed.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282885","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}
Lingyu Huang, Lijuan Yu, S. Quan, Liang Huang, Qihong Chen, Ying Xiong, J. Quan
{"title":"Design of voltage loop for three-phase PWM rectifier based on single neuron adaptive PID control","authors":"Lingyu Huang, Lijuan Yu, S. Quan, Liang Huang, Qihong Chen, Ying Xiong, J. Quan","doi":"10.1109/YAC.2017.7967399","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967399","url":null,"abstract":"During the control process of the three-phase PWM rectifier, the parameters of the conventional PID controller are kept constant. It's unable to make appropriate changes according to the actual working condition of the rectifier and the change of working environment, which limits the adaptability of the rectifier to environment and working conditions. Against this point, the single neuron adaptive PID is used as the voltage outer loop controller of the three-phase PWM rectifier instead of the conventional PID. The single neuron could make online adjustment of PID parameters according to the working state of the three-phase PWM rectifier. As a result, it solves the phenomenon that the control performance of the conventional PID controller varies with different working conditions. Through theoretical analysis and simulation verification, the three-phase PWM rectifier controlled by single neuron adaptive PID controller not only own the simple parameter setting process, but strong adaptability, better dynamic and static performance.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474596","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}
{"title":"Gear fault trend prediction based on FGM(1, 1) model","authors":"Jianhong Wang, Changyin Sun, Qiming Sun, Hao Yan","doi":"10.1109/YAC.2017.7967524","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967524","url":null,"abstract":"Gears have the highest rate of occurrence of failures in the wind turbine components. Therefore, strengthening the judgment of the gear running state in the future and forecasting its developing trend is of great importance. The required data of grey forecasting model is less and the prediction precision is high. Besides the method is simple, we can more accurately describe the inherent law of practical problems. However, it has been found that the actual phenomena tend to be irregular in practice. People usually use the fractional order to replace the integer order. This paper adopts the accumulated generating operation to weaken the original sequence randomness, which makes the disturbances of solutions of grey forecasting model smaller, and fractional order FGM(1,1) model is established to predict the trend of gear fault. The results of GM(1,1) model, Grey Neural Network model and fractional order FGM(1,1) model are compared respectively, and we analyze the differences of fitting precision between the three kinds of models mentioned above. The results illustrate that fractional order FGM(1,1) model has a high prediction capability compared with GM(1,1) model and Grey Neural Network model.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610071","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}
{"title":"A study of service persistence method in mobile environment","authors":"Xia Zhu, Jing Zhao","doi":"10.1109/YAC.2017.7967396","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967396","url":null,"abstract":"Widespread use of mobile terminal has promoted the rapid movements of information service technology. This paper analyzes the shortcomings of service capabilities in the case of the lack of infrastructure, and presents a service persistence method in mobile environment. Based on distributed service deployment, multiple backup and service session switch and other mechanisms, this method effectively protects the service continuity in entire service process.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654335","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}
{"title":"On convergence rate for multi-agent consensus: A community detection algorithm","authors":"Baofeng Zhang, Debao Chang, Zhanjie Li, Dan Ma","doi":"10.1109/YAC.2017.7967381","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967381","url":null,"abstract":"This paper considers the problem of improving the convergence rate for multi-agent consensus via a community detection algorithm used to divide the single layer topology into layers of connected subgraphs. This divided topological graph maintains the constraints of the original topological graph. Combining with the consensus protocol, community detection algorithm improves the convergence rate of multi-agent consensus effectively, and we propose a grouping improvement algorithm and a hierarchical grouping improvement algorithm to verify its feasibility.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379875","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}
Youjiang Liu, Han Wang, Ke Guan, Xiaohua Wang, Shan Li, Chilai Chen
{"title":"Intelligent scanning method for UV-FAIMS detection","authors":"Youjiang Liu, Han Wang, Ke Guan, Xiaohua Wang, Shan Li, Chilai Chen","doi":"10.1109/YAC.2017.7967591","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967591","url":null,"abstract":"UV-FAIMS has evolved as a powerful technique for separation and identification of volatile organic compounds (VOCs) under ambient pressure. It is an important method to scan compensation voltages (CV) at different dispersion voltages (DV) to realize two-dimensional high resolution of FAIMS. Repeat full-spectrum CV scanning consumes a lot of time. In this paper, an intelligent scanning method is proposed to reduce the time of CV scanning by estimating the position of the peak under the adjacent DV condition. Based on spectral position recognition, intelligent partial scanning repeatedly without reducing the effective information of FAIMS spectrum. By employing intelligent scanning method, detection time is reduced to 1/15 of the original full-spectrum scan when the single-peak scan range is set to±2V. This work provides a potential way for quick detection in field detection.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124659205","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}
{"title":"Observer-based formation control of heterogeneous multi-agent systems without velocity measurements","authors":"Zhang Keer","doi":"10.1109/YAC.2017.7967494","DOIUrl":"https://doi.org/10.1109/YAC.2017.7967494","url":null,"abstract":"In this paper, the problem of formation control of heterogeneous multi-agent systems is investigated. The heterogeneous multi-agent system is composed of first-order and second-order agents, where the second-order agents cannot obtain the velocity information. Firstly, without considering the input saturation, the distributed formation control protocols are designed for multi-agent systems with static leader and active leader respectively. By using Lyapunov stability theory and LaSalle's invariance principle, the protocols are proved to be effective. Then due to the actor saturation, the formation protocols for multi-agent systems with input saturation based on distributed observers and auxiliary systems are presented. Finally, the simulation results are given to illustrate the effectiveness of the proposed protocols.","PeriodicalId":232358,"journal":{"name":"2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116517798","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}