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

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On-demand transmission and control co-design for wireless control system 无线控制系统按需传输与控制协同设计
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003122
Jiasheng He, Cailian Chen, Shanying Zhu, X. Guan
{"title":"On-demand transmission and control co-design for wireless control system","authors":"Jiasheng He, Cailian Chen, Shanying Zhu, X. Guan","doi":"10.1109/ICCA.2017.8003122","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003122","url":null,"abstract":"With advent of wireless standards for real-time control, such as WirelessHART and ISA100.11a, Wireless Control Systems (WCSs) have been widely deployed in many application areas. However, due to limited bandwidth, the reliability of transmission is still a problem, which directly deteriorates control performance. In this paper, we consider a WirelessHART network consisting of multiple actuators and a scheduler. Inspired by practical experience, it is noticed that different actuators are of different priorities during control process, which implies demands for packet loss ratio are also different among actuators. As transmission and control are highly coupled, we propose On-demand Transmission and Control co-design (OTC) framework to determine transmission performances according to different demands of actuators. In our paper, joint transmission-control function is defined to build a unified mathematical model describing relationships between transmission and control. According to the joint function, tolerance region for transmission performances is derived at last and verified in the simulation.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"6 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":"133644258","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
Cooperative linear robust output regulation under uniformly connected switching network 均匀连接交换网络下的协同线性鲁棒输出调节
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003157
Y. Zhang, Youfeng Su
{"title":"Cooperative linear robust output regulation under uniformly connected switching network","authors":"Y. Zhang, Youfeng Su","doi":"10.1109/ICCA.2017.8003157","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003157","url":null,"abstract":"The recent paper [9] studied the cooperative robust output regulation of linear multi-agent systems with arbitrary parametric uncertainty via the distributed output feedback control, where the network is assumed to be fixed. In this paper, we further show that the same controller is also efficient for the more general uniformly connected switching network. In contrast to the traditional quadratic Lyapunov function in literatures, the Lipchitz continuous Lyapunov function is developed here for the closed-loop system to guarantee its internal stability.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"35 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":"127008461","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
Spatio-temporal environmental monitoring for smart buildings 智能建筑的时空环境监测
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003073
Linh V. Nguyen, G. Hu, C. Spanos
{"title":"Spatio-temporal environmental monitoring for smart buildings","authors":"Linh V. Nguyen, G. Hu, C. Spanos","doi":"10.1109/ICCA.2017.8003073","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003073","url":null,"abstract":"The paper addresses the problem of efficiently monitoring environmental fields in a smart building by the use of a network of wireless noisy sensors that take discretely-predefined measurements at their locations through time. It is proposed that the indoor environmental fields are statistically modeled by spatio-temporal non-parametric Gaussian processes. The proposed models are able to effectively predict and estimate the indoor climate parameters at any time and at any locations of interest, which can be utilized to create timely maps of indoor environments. More importantly, the monitoring results are practically crucial for building management systems to efficiently control energy consumption and maximally improve human comfort in the building. The proposed approach was implemented in a real tested space in a university building, where the obtained results are highly promising.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"11 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":"132439844","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: 10
Scheduling algorithm of observation and controlling for multi-agent systems to guarantee structural controllability 多智能体系统的观察与控制调度算法，保证结构的可控性
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003140
Peng Liu, Ya Zhang, Yu-Ping Tian
{"title":"Scheduling algorithm of observation and controlling for multi-agent systems to guarantee structural controllability","authors":"Peng Liu, Ya Zhang, Yu-Ping Tian","doi":"10.1109/ICCA.2017.8003140","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003140","url":null,"abstract":"This paper addresses how to select observed agents and controlled agents in a multi-agent system such that the system is structurally controllable with minimum cost of control and measurement. Firstly, we model the design issue as a minimum cost control configuration (MCCC) design problem of a bilinear system. Next, a necessary condition for the solvability of MCCC is derived. Then, an algorithm is given to provide the optimal solution to MCCC. This algorithm is based on the directed acyclic graph decomposition of the system graph, the Dulmage-Mendelson decomposition of the system bipartite graph, and verifying coprime paths. We use a new graph called dynamic graph to verify the coprime paths, which can avoid infinite verification loops when there are cycles in the system graph. We also prove that this algorithm has polynomial computational complexity. Finally, an example is given to illustrate the validity of the algorithm.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"134 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":"132521827","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
Observer-based optimal control for delta-domain LQ games with disturbances in finite/infinite time horizon 有限/无限时间范围内具有扰动的δ域LQ博弈的观测器最优控制
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003068
Yuan Yuan, Lei Guo
{"title":"Observer-based optimal control for delta-domain LQ games with disturbances in finite/infinite time horizon","authors":"Yuan Yuan, Lei Guo","doi":"10.1109/ICCA.2017.8003068","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003068","url":null,"abstract":"This paper addresses the observer-based composite control problem for a class of delta-domain LQ games with disturbances in both finite- and infinite-time horizon. In the presence of the disturbances, the Nash Equilibrium (NE) is revisited, and the scalar ε is proposed to describe the deviation of NE in such noise environment. A composite control strategy integrating the observer-based control and the feedback Nash strategies are developed such that NE can be achieved while compensating the matched disturbances. Sufficient conditions are given to ensure the existence of both the desired observer and the feedback Nash strategies in the delta-domain, and then the explicit expressions of such observer gain and Nash strategies are provided. An upper bound for the scalar ε is derived explicitly, and the corresponding convex optimization method is given to compute such epsilon level.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"18 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":"131728215","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
Ordering control in multi-stage multi-item supply chain with stochastic demand 具有随机需求的多阶段多产品供应链订货控制
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003146
Liuxi Li, Shiji Song, Cheng Wu, Keyou You
{"title":"Ordering control in multi-stage multi-item supply chain with stochastic demand","authors":"Liuxi Li, Shiji Song, Cheng Wu, Keyou You","doi":"10.1109/ICCA.2017.8003146","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003146","url":null,"abstract":"This paper studies the ordering control problem of multi-stage multi-item supply chain (MSMISC). We construct a MSMISC model under demand uncertainty derived from reality steelmaking. To control the ordering and stock efficiently, we present several ordering policies that are easy-to-implement. We test the performances of the presented policies in an MSMISC case derived from realistic steelmaking procedure. The managerial insights obtained from this case study can help to evaluate the potential benefits of applying different ordering policies in steelmaking operations.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"160 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":"134094153","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 artificial neural network driven decision-making system for manufacturing disturbance mitigation in reconfigurable systems 基于人工神经网络的可重构制造干扰控制决策系统
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003144
Roscoe McLean, A. Walker, G. Bright
{"title":"An artificial neural network driven decision-making system for manufacturing disturbance mitigation in reconfigurable systems","authors":"Roscoe McLean, A. Walker, G. Bright","doi":"10.1109/ICCA.2017.8003144","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003144","url":null,"abstract":"Reconfigurable manufacturing systems are susceptible to disturbances because of the characteristics associated with changeover of machine configuration and functionality. An Artificial Neural Network Driven Decision-Making System can mitigate these disturbances, if applied with extensive knowledge of the manufacturing system. This paper introduces a new concept into the paradigm of agile manufacturing that address live, autonomous, disturbance and underperformance mitigation. The mitigation system and its prerequisite research is described and a testing methodology is proposed.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"45 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":"127885703","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
Sliding mode control design for networked systems with packet loss 丢包网络系统的滑模控制设计
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003214
Zhiyu Xi, Q. Gao, Jiashuo Wang, G. Feng
{"title":"Sliding mode control design for networked systems with packet loss","authors":"Zhiyu Xi, Q. Gao, Jiashuo Wang, G. Feng","doi":"10.1109/ICCA.2017.8003214","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003214","url":null,"abstract":"This paper addresses sliding mode controller design for networked control systems subject to packet loss. Possible packet loss in both transmission channels from the sensors block to the controller block and from the controller block to the actuation block are considered. A dynamic compensator is proposed. It is shown that sliding mode in mean square sense can be achieved and the closed loop control system under sliding mode is exponentially mean-square stable. An illustrative example is finally given to show the efficiency of the proposed method.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"81 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":"121147165","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
Development of embedded model predictive controller 嵌入式模型预测控制器的开发
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003038
G. Boshkovski, G. Stojanovski, M. Stankovski
{"title":"Development of embedded model predictive controller","authors":"G. Boshkovski, G. Stojanovski, M. Stankovski","doi":"10.1109/ICCA.2017.8003038","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003038","url":null,"abstract":"The rapid improvement of computational power and performances of embedded systems, combined with development of new optimization algorithms with reduced complexity extends the application area of model predictive control. In this paper we describe a method of developing a model predictive controller which can be deployed on general purpose microcontroller without a floating-point unit and used to control systems with small response time. The presented method exploits the benefits of discrete-time model predictive control using Laguerre functions and fixed-point format for representing real numbers with the aim of reducing the computational load. The proposed method is verified by implementing embedded model predictive controller for DC motor angular velocity control.","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":"121437338","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
Weighted average consensus-based cubature Kalman filtering for mobile sensor networks with switching topologies 基于加权平均共识的交换拓扑移动传感器网络培养卡尔曼滤波
2017 13th IEEE International Conference on Control & Automation (ICCA) Pub Date : 2017-07-01 DOI: 10.1109/ICCA.2017.8003072
Q. Tan, Xiwang Dong, Qingdong Li, Z. Ren
{"title":"Weighted average consensus-based cubature Kalman filtering for mobile sensor networks with switching topologies","authors":"Q. Tan, Xiwang Dong, Qingdong Li, Z. Ren","doi":"10.1109/ICCA.2017.8003072","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003072","url":null,"abstract":"To deal with the distributed estimation for mobile sensor networks with switching topologies, an algorithm of the weighted average consensus-based cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering in information form and consensus algorithm. On the basis of the predecessors research work, the sufficient condition is presented for ensuring the weighted average consensus estimation in mobile sensor networks. Besides, the stability of the algorithm is analyzed for nonlinear systems with nonlinear state equation and nonlinear observation equation which are assumed to be continuously differentiable. Finally, the effectiveness of the proposed algorithm is evaluated on a target tracking case study with nonlinear motion equation and nonlinear observation equation.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"1 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":"129215407","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
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