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2017 13th IEEE International Conference on Control & Automation (ICCA)最新文献

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SAR real-time guidance system based on multi-scale FAST-BRISK 基于多尺度FAST-BRISK的SAR实时制导系统
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003098
Mengjie Zhou, Guofeng Zhang, Xiaoguang Hu, Dan Sun, Jin Xiao
{"title":"SAR real-time guidance system based on multi-scale FAST-BRISK","authors":"Mengjie Zhou, Guofeng Zhang, Xiaoguang Hu, Dan Sun, Jin Xiao","doi":"10.1109/ICCA.2017.8003098","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003098","url":null,"abstract":"In recent years, SAR (Synthetic Aperture Radar) has been widely used in the real-time guidance system. As the foundation of system, SAR image registration directly affects the guidance performance. In order to achieve the high precision and low computation, in this paper, we adopt well-known FAST (Features from Accelerated Segment Test) for feature detection and BRISK (Binary Robust Invariant Scalable Keypoints) for feature description. Then, we use Hamming distance and RANSAC (Random Sample Consensus) to match key points and estimate transformation parameters. To evaluate the performance of algorithms, three simulation experiments have been accomplished. The results and comparative analysis show a better performance of our proposed method.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133650814","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
Universal searchless method for parametric optimization of predictive algorithms 预测算法参数优化的通用无搜索方法
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003189
F. Pashchenko, G. Pikina, Yu. Rodomanova
{"title":"Universal searchless method for parametric optimization of predictive algorithms","authors":"F. Pashchenko, G. Pikina, Yu. Rodomanova","doi":"10.1109/ICCA.2017.8003189","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003189","url":null,"abstract":"In this paper we propose a new universal searchless method for tuning the parameters of linear controllers. We compare tuning parameters of the PIDD2 (proportional, integrative, derivative and double derivative) controller, which have been found by the proposed method, with the ones of the predictive PID controller. The results demonstrate the advantages of the proposed method. We also provide some recommendations for choosing the parameters of the method.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133664040","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: 7
Discrete-time distributed optimization for multi-agent systems under Markovian switching topologies 马尔可夫切换拓扑下多智能体系统的离散时间分布式优化
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003153
Dong Wang, Dong Wang, Jianliang Wang, Wei Wang
{"title":"Discrete-time distributed optimization for multi-agent systems under Markovian switching topologies","authors":"Dong Wang, Dong Wang, Jianliang Wang, Wei Wang","doi":"10.1109/ICCA.2017.8003153","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003153","url":null,"abstract":"The present paper develops a distributed protocol solving the distributed optimization problem for multi-agent systems with the discrete-time dynamics under Markovian switching topologies. Both the completely known probabilities and partially unknown probabilities in the transition matrices are taken into account. Through the proper coordination of transformation, the optimization under consideration is transformed into stability analysis of the closed-loop systems with the optimal point. Furthermore, we avert to use Young's inequality to derive the convergence condition, which is simpler and less conservative. Numerical simulations are also given to testify the proposed theorems.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362832","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
Identification and management of an electrical storage system for application in photovoltaic installations 用于光伏装置的电存储系统的识别和管理
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003178
F. Delfino, G. Ferro, R. Minciardi, M. Robba, M. Rossi, M. Rossi
{"title":"Identification and management of an electrical storage system for application in photovoltaic installations","authors":"F. Delfino, G. Ferro, R. Minciardi, M. Robba, M. Rossi, M. Rossi","doi":"10.1109/ICCA.2017.8003178","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003178","url":null,"abstract":"The aim of this paper is to propose a MPC (Model Predictive Control)-based hierarchical architecture for microgrids characterized by photovoltaics and storage systems. The first part of the work is focused on the storage model's identification during the charge and discharge phases with the aim of defining appropriate constraints to be inserted in the decision model. In the higher level, an optimization problem is developed and solved under a MPC scheme. The lower level, implemented on a PLC, receives references from the higher level and applies simple heuristics rules for real time control, on the basis of weather forecasts and data measured in real time. The developed algorithms have been applied to a real case study: a portion of the Savona Campus (University of Genoa) polygeneration microgrid that includes a photovoltaic field, an electric storage system, a load, and a connection with the electric grid.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132271981","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: 6
Event-triggered course-tracking control of marine surface vessels 海洋水面舰艇的事件触发航向跟踪控制
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003092
Rong Zhao, Tie-shan Li, Cheng Liu, C. L. P. Chen, Min Han
{"title":"Event-triggered course-tracking control of marine surface vessels","authors":"Rong Zhao, Tie-shan Li, Cheng Liu, C. L. P. Chen, Min Han","doi":"10.1109/ICCA.2017.8003092","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003092","url":null,"abstract":"This paper proposes an event-triggered course-tracking control approach of marine surface vessels based on output reference tracking method. Throughout this work, a reference system, which consists in the continuously controlled version of the system understudy, is employed. Based on the difference between the state of the event-triggered system and that of the reference system, a Lyapunov-like function is defined to guarantee the boundedness of the tracking error. The proposed strategy reduces the amount of energy consumption and computation, thus results in less controller executions, and its feasibility is further verified by the exclusion of Zeno behavior. Effectiveness of the proposed algorithm is further illustrated by simulation results.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134496620","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
High speed detection of aircraft targets based on proposal oriented FAST and adaptive matching of local invariant features 基于基于建议的FAST和局部不变特征自适应匹配的飞机目标高速检测
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003209
Lin Guo, S. Qin
{"title":"High speed detection of aircraft targets based on proposal oriented FAST and adaptive matching of local invariant features","authors":"Lin Guo, S. Qin","doi":"10.1109/ICCA.2017.8003209","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003209","url":null,"abstract":"In this paper, a high speed detection method of aircraft targets in remote sensing images is proposed based on proposal oriented FAST and adaptive matching of local invariant features. In order to reduce the search scope, the region of parking apron is extracted by region growing based on OTSU segmentation. Moreover, Binarized Normed Gradient (BING) and Spectral Residual Saliency (SRS) are applied respectively to find useful proposals of potential aircraft targets with minor computing cost. Towards extracted proposals, the algorithm of Features from Accelerated Segment (FAST) is employed to locate key feature points precisely for various sizes of aircraft targets even very small ones. Then local invariant features characterized with well robustness against environment changes are constructed. Finally, the high speed detection algorithm of aircraft targets is implemented through adaptive matching of local invariant features with parameters adjustable accompanied by the size of aircraft targets. Comprehensive experiment results validate the well performance of our method with outstanding superiority in detection speed and accuracy for various sizes of aircraft targets.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"54 Suppl 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134547559","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
Distributed nash equilibrium seeking in multi-agent games with partially coupled payoff functions 报酬函数部分耦合的多智能体博弈中的分布式纳什均衡寻求
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003071
Maojiao Ye, G. Hu
{"title":"Distributed nash equilibrium seeking in multi-agent games with partially coupled payoff functions","authors":"Maojiao Ye, G. Hu","doi":"10.1109/ICCA.2017.8003071","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003071","url":null,"abstract":"In this paper, distributed Nash equilibrium seeking for multi-agent games, particularly for games where the players' payoff functions are partially coupled, is investigated. To model the (partial, explicit) dependence of the players' payoff functions on the players' actions, an interference graph is introduced. Besides, the players are supposed to be equipped with a communication graph to achieve Nash equilibrium seeking in a distributed fashion. Nash equilibrium seeking strategy design is firstly explored under undirected graphs (including undirected interference graphs and communication graphs). In the proposed seeking strategy, each player generates estimates on the actions of its neighbors in the undirected interference graph. However, in some games, the payoff function of player j is a function of player i's action (i ≠ j), while the payoff function of player i is explicitly independent of the action of player j. To capture the asymmetric, explicit dependence of the players' payoff functions on the players' actions, Nash equilibrium seeking under directed graphs (i.e., directed interference graphs and communication graphs) is investigated. The seeking strategy under directed graphs further reduces the number of the estimation variables. The presented convergence results are analytically studied and verified by numerical examples.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134577626","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
Spacecraft hovering around asteroid via disturbance observer based exponential time-varying sliding mode controller 基于扰动观测器的航天器绕小行星飞行指数时变滑模控制器
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003079
Guiyu Liao, Y. Sheng, Xiangyuan Zeng
{"title":"Spacecraft hovering around asteroid via disturbance observer based exponential time-varying sliding mode controller","authors":"Guiyu Liao, Y. Sheng, Xiangyuan Zeng","doi":"10.1109/ICCA.2017.8003079","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003079","url":null,"abstract":"In this work, a controller based on exponential time-varying sliding mode algorithm is proposed for spacecraft hovering around asteroids. The controller is conducted by adopting global sliding mode which removes reaching phase and is shown to be globally asymptotic stable. To eliminate steady-state error and improve precision, disturbance observer is applied in the control strategy. Importantly, the value of controller parameters depends on a desired maximum velocity of spacecraft. Therefore the proposed controller can achieve speed limit at the same time without another controller. The behavior of the controller has been studied and analyzed. Numerical simulations are given in a flight dynamics scenario in which the spacecraft is asked to hover near asteroid Eros 433 to show the performance of the proposed controller.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738413","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: 5
Current sharing control for parallel DC-DC buck converters based on consensus theory 基于一致性理论的并联DC-DC降压变换器电流共享控制
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003117
Congrang Jiang, Haibo Du, G. Wen
{"title":"Current sharing control for parallel DC-DC buck converters based on consensus theory","authors":"Congrang Jiang, Haibo Du, G. Wen","doi":"10.1109/ICCA.2017.8003117","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003117","url":null,"abstract":"In this paper, based on the consensus theory for multi-agent systems, a new control strategy of current sharing for the parallel DC-DC buck converters system is designed. The control strategy is a distributed control, which only use neighbors' information, rather than a central control. Corresponding stability analysis is also provided. Finally, the simulation results are given to demonstrate the efficiency of the control strategy.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862480","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: 5
An efficient locomotion strategy for six-strut tensegrity robots 六杆张拉整体机器人的高效运动策略
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003096
Yongjia Zhao, Suiping Zhou, Chang-I Lin, Daiwei Li
{"title":"An efficient locomotion strategy for six-strut tensegrity robots","authors":"Yongjia Zhao, Suiping Zhou, Chang-I Lin, Daiwei Li","doi":"10.1109/ICCA.2017.8003096","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003096","url":null,"abstract":"Tensegrity is a balanced mechanical structure composed of a set of rigid members that are connected by elastic tensile members. Tensegrity-like robots have received significant attention for its light-weight, robustness and deployability. However, the locomotion control of a tensegrity robot is still a challenging problem due to the complex nonlinear coupling among the struts and cables. In this paper, a straightforward, easy to implement compare-and-search based strategy for six-strut tensegrity robot is proposed to achieve continuous rolling toward given targets without developing step-wise locomotion policies for different adjacent relationship separately. To validate the proposed strategy, simulation experiments have been performed. Results show that the strategy works well on rough terrains and it is robust to external disturbances. In particular, the proposed strategy allows the robot to escape from the trap by jumping in certain situations. A physical prototype robot is also built based on the proposed strategy.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124818029","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: 4
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