{"title":"A dynamic clustering and routing protocol for multi-hop data collection in wireless sensor networks","authors":"Liquan Chen, Zhezhuang Xu, Ting Liu, Cailian Chen","doi":"10.1109/CHICC.2015.7260880","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260880","url":null,"abstract":"For multi-hop data collection in wireless sensor network, a fundamental problem is to improve the energy efficiency with the constraint of network connectivity. The HCR protocol combines the gradient routing with dynamic clustering to provide connected and efficient inter-cluster topology with limited transmission range. However, it suffers from the imbalanced energy consumption which leads to the poor performance in network lifetime. In this paper, we analyze the energy consumption of HCR, and find that there is severe imbalanced energy consumption among the nodes in gradient k = 1, where the nodes can transmit their data to the sink directly. Based on this observation, we propose a new protocol termed as HCR-1, which uses the adaptive routing decision and the tunable cost function to balance the energy consumption of cluster heads. Simulation results show that HCR-1 protocol can effectively balance the energy consumption of nodes, and extend the network lifetime for over 30%.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114997952","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":"Event-triggering control for model-based networked control systems under communication constraints","authors":"Liuyang Zhou, Zhibin Yan","doi":"10.1109/CHICC.2015.7260721","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260721","url":null,"abstract":"We consider the stability of networked control systems (NCSs) with communication constraint. To economize in communication resource, people hope the system could run in open loop mode for as long as possible. We use a model-based (MB) architecture, which contains a model to estimate the plant state; the estimate is used to calculate the control signal in place of the plant state. The plant-controller communication occurs only at discrete instants, which are to be determined by the event-triggering style. Under the bandwidth constraint, only one node of a system is chosen to transmit its information while other nodes must wait. We use a popular scheduling protocol called Maximum-Error-First (MEF) protocol to pick the node. We give conditions to guarantee the asymptotical stability of the NCSs.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"2676 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115005245","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":"Fault detection for logarithmic quantized feedback control systems","authors":"Guo Fumin, Ren Xuemei, L. Zhijun, Han Cunwu","doi":"10.1109/CHICC.2015.7260609","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260609","url":null,"abstract":"In this paper, the fault detection problem for a class of discrete-time quantized feedback control systems with logarithmic quantizers is investigated. A new method is proposed to handle the quantization error, i.e., the quantization error is considered as the unknown input of the residual generation. First, an optimal residual generation is designed based on H∞/H∞ performance index. Then, a norm-based residual evaluation is provided, and a threshold is achieved by making use of mathematical expectation and variance of the residual evaluation. Finally, the false alarm rate of the designed threshold is guaranteed to be below a given level. A numerical simulation is presented to illustrate the effectiveness of the main results.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115358183","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":"Optimal linear estimation fusion for systems with one-step delays and packet dropouts","authors":"Sun Jiabing, Zhang Chengjin, Sun Xiaoxia","doi":"10.1109/CHICC.2015.7260344","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260344","url":null,"abstract":"This paper considers the distributed optimal (i.e., linear minimum variance) fusion estimation problems for a networked multi-sensor system. In this system, the data transmission is subject to possible random one-step delay and packet dropouts. The results of local estimation have been presented in the literature. The estimation error cross-covariances between local estimates are derived in this paper. By the fusion rule weighted by matrices, the distributed optimal fusion estimators are developed.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115459899","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":"Local salient motion analysis for action recognition","authors":"Lu Ping, Jin Lizuo, Sun Jian, Liu Yawei","doi":"10.1109/CHICC.2015.7260219","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260219","url":null,"abstract":"Recently, local space-time feature based action elements were shown to be an efficient video representation for action recognition and achieved state-of-art results. However, these features are easily corrupted by camera motions and background noisy. To take account global camera motion and overcome the irrelevant features, this paper presents a novel motion filter to detect salient motion parts in which a contrast of local dynamic information is used to enhance local motions. After detection of salient motions, a histogram oriented descriptor on these motion maps (HOM) is calculate to describe action elements. The experiment shows that with local salient motion detection, the local space-time motion descriptor can achieve a significant improvement compare to the existing action descriptors.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"514 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123061496","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":"Predictive attitude controller for under-actuated reentry vehicle","authors":"Sun Shan, Li Huifeng, Zhang Ran","doi":"10.1109/CHICC.2015.7260273","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260273","url":null,"abstract":"Using only two body flaps to control the attitude of the reentry vehicle, belonging to under-actuated system, probably lead to unstable internal dynamics in lateral movement. In order to solve the problem, based on using output-redefinition to stabilize internal dynamic, a predictive controller is put forward to make the tracking error between next states and next standard command to be minimum, so as to achieve the optimal controller. The simulation result shows that controller performances very well, and the precision of the predictive algorithm is superior to the inverse dynamic controller.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121826202","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 new inertial sensor-based gait recognition method via deterministic learning","authors":"Zeng Wei, Wang Qinghui, Deng Muqing, Liu Yiqi","doi":"10.1109/CHICC.2015.7260243","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260243","url":null,"abstract":"This paper presents a new gait recognition method based on acceleration and angular velocity data captured by inertial sensors via deterministic learning. These gait features describe the motion trajectories of human gait and contain rich information for persons identification. The gait recognition approach consists of two phases: a training phase and a recognition phase. In the training phase, the gait dynamics underlying different individuals' gaits are represented by the acceleration and angular velocity features, and are locally accurately approximated by radial basis function (RBF) neural networks. The obtained knowledge of approximated gait dynamics is stored in constant RBF networks. In the recognition phase, a bank of dynamical estimators is constructed for all the training gait patterns. Prior knowledge of human gait dynamics represented by the constant RBF networks are embedded in the estimators. By comparing the set of estimators with a test gait pattern, a set of recognition errors are generated. The average L1 norms of the errors are taken as the similarity measure between the dynamics of the training gait patterns and the dynamics of the test gait pattern. The test gait pattern similar to one of the training gait patterns can be recognized according to the smallest error principle. Finally, comprehensive experiments are carried out on the OU-ISIR biometric gait database: inertial sensor dataset, which includes at most 744 subjects (389 males and 355 females) and is now the world's largest inertial sensor-based gait database, to demonstrate the recognition performance of the proposed algorithm.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"35 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274931","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":"Autopilot design for a robotic unmanned surface vehicle","authors":"Zhouhua Peng, Yong Tian, Dan Wang, Lu Liu","doi":"10.1109/CHICC.2015.7260597","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260597","url":null,"abstract":"This paper reports an autopilot design for a robotic unmanned surface vehicle in the control laboratory at DMU. A robust adaptive steering law is developed with the aid of a predictor, a tracking differentiator, neural networks, and a dynamic surface control technique. The developed controller is able to achieve satisfactory performance in the presence of model uncertainties, time-varying ocean disturbances, and measurement noises. Simulation results demonstrate the efficacy of the proposed method.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276681","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":"Active disturbance rejection control for fuel processing system of fuel cells","authors":"Yali Shen, Donghai Li, W. Tan","doi":"10.1109/CHICC.2015.7259636","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259636","url":null,"abstract":"Linear active disturbance rejection control (LADRC) is used to control the fuel processing system (FPS) of fuel cells. Two LADRC schemes (with and without decoupler) are studied. LADRCs with decouplers are designed at three operating points. Step responses and Monte Carlo experiments show that good dynamic performance and strong robustness can be achieved. The result is further verified with bode plots of the closed-loop systems. Inspired by this result, LADRCs without decouplers are analyzed. Simulations show that a single decentralized ADRC can be enough to control three different models with satisfactory dynamic performance and good decoupling performance.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116632939","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 new order reduction approach based on elementary operation for Roesser state-space model","authors":"Zhao Dongdong, Lian QiaoQiao, Yan Shi, Xu Li","doi":"10.1109/CHICC.2015.7259622","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259622","url":null,"abstract":"In this paper, a new order reduction approach will be proposed for Roesser state-space model of multidimensional (n-D) systems based on the elementary operation order reduction approach proposed by the co-authors very recently. It will be shown that the n-D order reduction problem can be formulated again into an elementary operation problem of an well-initialized n-D polynomial matrix but the standard objective matrix has a more general form than the existing one. As a consequence, the existing elementary operation order reduction approach can be viewed as a special case of the new proposed approach. Moreover, a basic order reduction procedure is presented and corresponding examples are given to illustrate the details as well as the effectiveness of the proposed approach.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803710","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}