{"title":"Exploration and tradeoff of advanced sensor fusion architectures in designing for reduced congestion using advanced traffic management techniques","authors":"John Robinson, M. Balchanos, D. Mavris","doi":"10.1109/ICCA.2017.8003046","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003046","url":null,"abstract":"As a response to rapidly increasing costs due to congestion in urban traffic environments, the development of Intelligent Transport Systems (ITS) has paved the way towards new and innovative mobility concepts. With most of these concepts offering benefits in travel time and congestion relief, they also come with requirements of a fully participating vehicle network and a centralized routing architecture which is encountered with skepticism. To bridge the gap between concepts and reality, an intermediate, transitional centralized routing solution is recommended. With the selection of a viable routing control method as a key objective, this work is proposing a sensor fusion approach that is informed by traffic situational awareness. Testing and evaluation through a virtual experimentation framework will allow for assessment of alternative control methods, and will enable tradeoffs for the selection of more capable sensor fusion architectures. A demonstration of the virtual experimentation environment is provided, showing trades in travel time reduction for differing levels of vehicle participation in the routing solution.","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":"116961047","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":"Adaptive model predictive control for set-point tracking of a single-DOF flapping-wing unmanned aerial vehicle","authors":"Bing Zhu, Zongyu Zuo","doi":"10.1109/ICCA.2017.8003173","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003173","url":null,"abstract":"An adaptive model predictive control (MPC) is proposed in this paper to stabilize linear constrained systems with parametric uncertainties. The proposed control is designed by combining linear MPC and an adaptive updating law for uncertain parameters. It is proved that, by using the proposed adaptive MPC, states of the linear system can be stabilized, and the estimated parameters are bounded. The adaptive MPC can be applied to set-point tracking of a single-DOF flapping-wing unmanned aerial vehicle (UAV), where there exist parametric uncertainties and control constraints. Performances of the closed-loop system are illustrated by a simulation example.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"239 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120907466","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":"Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems","authors":"Long Teng, Youyi Wang, W. Cai, Hua Li","doi":"10.1109/ICCA.2017.8003135","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003135","url":null,"abstract":"In this paper, a kind of decentralized robust fuzzy controller which uses nonlinear local models is designed for the control of large-scale interconnected systems. The approach of T-S fuzzy model with nonlinear local models rather than with linear local model can bring some advantages. Especially for large-scale interconnected systems which often contain a lot of complex nonlinear interconnection functions, the number of fuzzy rules can be decreased as well as the computational burden can be reduced. Meanwhile, the parameter uncertainties within each subsystem and in the interconnection of subsystems are also considered to achieve robustness of the system's performance. In addition, guaranteed cost control (H2 control) is realized and the control synthesis conditions are given by solving a set of linear matrix inequalities (LMIs). Simulation result is given to illustrate the effectiveness of the proposed method.","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":"127454780","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":"Modelling and analysis of proportional method in duct systems under uncertainty","authors":"Can Cui, W. Cai, Haoran Chen","doi":"10.1109/ICCA.2017.8003184","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003184","url":null,"abstract":"This paper presents a detailed study on the performance, generality and robustness of proportional method. A probabilistic model was proposed to predict the number of iterations needed for air balancing under different sensor uncertainties. This model was later validated by simulations in a duct system with 12 nodes and 20 branches. And the correlation between the efficiency of proportional method and sensor uncertainty were estimated based on the proposed model.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"19 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":"124817159","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 review on multiple criteria performance analysis of renewable energy systems","authors":"Ting Wu, Dongling Xu, Jianbo Yang","doi":"10.1109/ICCA.2017.8003166","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003166","url":null,"abstract":"The modelling for renewable energy system (RES) performance evaluation and impact analysis can be a challenging task, where there are multiple criteria with both quantitative and qualitative forms under uncertainty. Multi-criteria decision analysis (MCDA) methods have become increasingly popular in the decision-making for renewable energy systems because of the multi-dimensionality of the sustainability goal and the complexity of the technical, environmental, economic and social perspectives. This paper aims to review the applications of MCDA methods to the performance modelling and impact analysis of RESs, primarily in four relevant areas, including renewable energy planning and policy, renewable energy evaluation and assessment, renewable energy project selection and allocation and RES environmental impact assessment. Further research can be conducted to study the feasibility of different RESs and the selection of an appropriate MCDA methodology in alternative energy decision-making.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"24 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":"125367331","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 novel technique of dual-arm robot manipulators: Path-contouring control problem","authors":"Thanana Nuchkrua, Shyh‐Leh Chen, S. Boonto","doi":"10.1109/ICCA.2017.8003174","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003174","url":null,"abstract":"The problem of Path-contouring Control of dual arm robot manipulators is defined by the equivalent contour errors determining the desired path. Equivalent errors approach utilizes the n − 1 equivalent contour error in terms of algebraic equation and one tangential error to obtain the new nonlinear coordinate system. It becomes the problem of stabilization of Path-contouring Control. As a result, the existing control techniques can be considered to deal with such the problem of stabilization. The results of experiment demonstrate the excellent performance of the proposed technique.","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":"126867164","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":"The feasibility of parametric approaches to predictive control when using far future feed forward information","authors":"Shukri Dughman, J. Rossiter","doi":"10.1109/ICCA.2017.8003215","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003215","url":null,"abstract":"This paper considers the tractability of parametric solvers for predictive control based optimisations, when future target information is incorporated. it is shown that the inclusion of future target information can significantly increase the implied parametric dimension to an extent that is undesirable and likely to lead to intractable problems. The paper then proposes some alternative methods for incorporating the desired target information, while minimising he implied growth in the parametric dimensions, at some possibly small cost to optimality.","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":"114180999","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":"Channel allocation and power control scheme over interference channels with QoS constraints","authors":"Limin Zhang, Jian Sun","doi":"10.1109/ICCA.2017.8003161","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003161","url":null,"abstract":"The channel allocation and power control problem for multiple control loops over interference channels is investigated. A scheduler allocates the wireless channels and controls transmitting power based on observed channel conditions. The strategy can guarantee a QoS performance and minimize the average transmitting power simultaneously. The problem is formulated as an optimization problem and is solved by an ascent subgradient method. An offline algorithm to find the optimal allocation policy is put forward. Whereas, the algorithm is hard to be implemented in practice for requiring the channel distribution. Therefore, a stochastic subgradient ascent algorithm which is based on current observed channel state is proposed. It is proved that the stochastic optimal value converges almost surely to the optimal value. A numerical example illustrates the efficiency of the proposed method.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"55 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":"122045316","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 stability of switched homogeneous systems","authors":"Dong Zhao, Hao Yang, B. Jiang","doi":"10.1109/ICCA.2017.8003103","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003103","url":null,"abstract":"In this paper, the robustness of a class of homo-geneous systems is investigated, in which a relation among the high-order term, the converging rate and the stability region of the system is explicitly established. Such a new observation facilitates to establish several robust stabilization conditions for switched homogeneous systems with high-order terms. Several stability regions related to exponential, finite-time and rational stability properties of the switched system are provided.","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":"128662247","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":"Range-based cooperative localization with single landmark","authors":"Kexin Guo, Duo Han, Lihua Xie","doi":"10.1109/ICCA.2017.8003126","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003126","url":null,"abstract":"We consider the problem of range-based cooperative localization for multiple agents in a GPS-denied environment. For the minimal reference purpose, there exists only one single landmark whose global position is known to a subset of agents. All agents which are equipped with Ultra Wideband (UWB) radars are able to measure the relative distance between themselves and their communicating neighbours. We propose two approaches for the purpose of cooperative localization. We first design a covariance intersection (CI) based estimator which needs the information exchange among the agents to enhance their localization precision and show that the estimate is stable under mild conditions. We also design an alternative approach based on estimate consensus which differs from CI approach that primarily focuses on covariance fusion. Simulation results show the effectiveness of both the proposed approaches.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"28 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":"123890764","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}