Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388146
Jun Wang, Weimin Li
To prevent the power shortage phenomenon during electricity peak-demand period, utility companies may control the users' power consumption of this period by establishing a price-consumption function and a penalty system. Moreover, users may minimize their electricity expenditures through power consumption forecast strategy of day-ahead market under the new electricity price system. When it comes to entering into rivalry with other users over reasonable electricity price, we establish a repeated game model transforms dynamic game of incomplete information into the static of complete information, solve the equilibrium problem and obtain the optimal strategy. In addition, we also mention that one of the ways users take to reduce power consumption during the peak period is transferring load, avoiding the resulted instability of trough.
{"title":"Optimal strategy of users' power consumption forecast based on repeated game model","authors":"Jun Wang, Weimin Li","doi":"10.1109/ICICIP.2015.7388146","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388146","url":null,"abstract":"To prevent the power shortage phenomenon during electricity peak-demand period, utility companies may control the users' power consumption of this period by establishing a price-consumption function and a penalty system. Moreover, users may minimize their electricity expenditures through power consumption forecast strategy of day-ahead market under the new electricity price system. When it comes to entering into rivalry with other users over reasonable electricity price, we establish a repeated game model transforms dynamic game of incomplete information into the static of complete information, solve the equilibrium problem and obtain the optimal strategy. In addition, we also mention that one of the ways users take to reduce power consumption during the peak period is transferring load, avoiding the resulted instability of trough.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436674","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388198
Xiaopan Zhang, Jing Liu, Xuefeng Chi
Interactive image segmentation based on Cellular Automata (CA) has shown its effectivity of object extraction in photographs or video frames. But in high resolution remote sensing images it will be a heavy work to manually label out all of objects, especially the mixture-up objects, in large scale of map area. Three kinds of auto-labelling algorithms are studied to generate labels automatically just according to a few of artificial sample labels. These algorithms deal with the similarity between unlabeled area and the labeled samples in the aspects of spectrum, shapes, and mixture pattern respectively, and then make the use of maximum likelihood labelling, shape calculation by screening contours, and spatial clustering comprehensively to extract some feature pixels to construct new labels. The feasibility of the algorithms has been shown by experimental results of different types of high resolution remote sensing images retrieved from google earth.
{"title":"Auto-labeling algorithms on CA based interactive segmentation for high resolution remote sensing images","authors":"Xiaopan Zhang, Jing Liu, Xuefeng Chi","doi":"10.1109/ICICIP.2015.7388198","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388198","url":null,"abstract":"Interactive image segmentation based on Cellular Automata (CA) has shown its effectivity of object extraction in photographs or video frames. But in high resolution remote sensing images it will be a heavy work to manually label out all of objects, especially the mixture-up objects, in large scale of map area. Three kinds of auto-labelling algorithms are studied to generate labels automatically just according to a few of artificial sample labels. These algorithms deal with the similarity between unlabeled area and the labeled samples in the aspects of spectrum, shapes, and mixture pattern respectively, and then make the use of maximum likelihood labelling, shape calculation by screening contours, and spatial clustering comprehensively to extract some feature pixels to construct new labels. The feasibility of the algorithms has been shown by experimental results of different types of high resolution remote sensing images retrieved from google earth.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000445","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388153
Lu Li, Ben Niu
In this paper, a neural-network-based control scheme is developed for the tracking control problem of a class of disturbed nonlinear switched strict-feedback systems with input delay. First, the auxiliary signals are obtained by ingeniously constructing a filter and a virtual observer. Then the backstepping technique and neural networks are employed to construct a common Lyapunov function (CLF) and a state feedback controller for all subsystems. It is proved all signals of the closedloop system are semi-globally uniformly ultimately bounded (SGUUB), and that the tracking error ultimately converges to an adequately small compact set.
{"title":"Adaptive neural network tracking control for switched strict-feedback nonlinear systems with input delay","authors":"Lu Li, Ben Niu","doi":"10.1109/ICICIP.2015.7388153","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388153","url":null,"abstract":"In this paper, a neural-network-based control scheme is developed for the tracking control problem of a class of disturbed nonlinear switched strict-feedback systems with input delay. First, the auxiliary signals are obtained by ingeniously constructing a filter and a virtual observer. Then the backstepping technique and neural networks are employed to construct a common Lyapunov function (CLF) and a state feedback controller for all subsystems. It is proved all signals of the closedloop system are semi-globally uniformly ultimately bounded (SGUUB), and that the tracking error ultimately converges to an adequately small compact set.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125617066","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388191
Meiling Xu, Shuhui Zhang, Min Han
This paper presents a multivariate time series modeling and prediction method based on reservoir independent components. As a new type of recurrent neural networks (RNNs), reservoir computing methods have become a new hot topic and attracted wide attention from researchers in the field of time series prediction. It has overcome the problems that traditional gradient descent training algorithms present, for example, the process is computationally expensive, and easy to end in a local minimum. However, there are ill-posed solutions when least square estimation methods are used to calculate the output weights because of the collinear columns or rows in the state matrix. Therefore, we use independent component analysis (ICA) to extract the independent components of the state matrix. In addition, this paper proposes an iterative prediction model based on local error compensation to solve the problem of accumulated errors in multiple-step prediction, in order to realize medium-term prediction. The models have been simulated on benchmark dataset of Lorenz time series and a real-world application of Dalian monthly average temperature-rainfall time series. Simulation results substantiate the proposed methods' effectiveness and characteristics.
{"title":"Multivariate time series modeling and prediction based on reservoir independent components","authors":"Meiling Xu, Shuhui Zhang, Min Han","doi":"10.1109/ICICIP.2015.7388191","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388191","url":null,"abstract":"This paper presents a multivariate time series modeling and prediction method based on reservoir independent components. As a new type of recurrent neural networks (RNNs), reservoir computing methods have become a new hot topic and attracted wide attention from researchers in the field of time series prediction. It has overcome the problems that traditional gradient descent training algorithms present, for example, the process is computationally expensive, and easy to end in a local minimum. However, there are ill-posed solutions when least square estimation methods are used to calculate the output weights because of the collinear columns or rows in the state matrix. Therefore, we use independent component analysis (ICA) to extract the independent components of the state matrix. In addition, this paper proposes an iterative prediction model based on local error compensation to solve the problem of accumulated errors in multiple-step prediction, in order to realize medium-term prediction. The models have been simulated on benchmark dataset of Lorenz time series and a real-world application of Dalian monthly average temperature-rainfall time series. Simulation results substantiate the proposed methods' effectiveness and characteristics.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126905704","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388201
Zehuan Wu, Yunbing Liu, Guici Chen
Base on Lyapunov stability theory of time-delay systems, the chaos control and synchronization problems of time-delay chaotic system are discussed in this paper. A linear controller to realize chaos control is designed and the synchronization problem of a new time-delay chaotic systems is discussed by combining of a new theorem and the characters of the chaotic system. Finally, numerical examples with simulation are provided to illustrate the correctness and effectiveness of the theoretical results.
{"title":"Linear feedback control and synchronization for a new time-delay chaotic system","authors":"Zehuan Wu, Yunbing Liu, Guici Chen","doi":"10.1109/ICICIP.2015.7388201","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388201","url":null,"abstract":"Base on Lyapunov stability theory of time-delay systems, the chaos control and synchronization problems of time-delay chaotic system are discussed in this paper. A linear controller to realize chaos control is designed and the synchronization problem of a new time-delay chaotic systems is discussed by combining of a new theorem and the characters of the chaotic system. Finally, numerical examples with simulation are provided to illustrate the correctness and effectiveness of the theoretical results.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127645061","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388176
Haomin Ma, Sufang Chen, Yinghui Zhang
A new supervised genetic learning control for maintaining voltage profiles after an emergency in power systems is proposed in this study. Search efficiency is improved after introducing system knowledge into the search process of genetic learning. The optimization of the coordinated voltage control is considered a multi-objective optimal problem. Thus, a set of effective controls can be found, and a knowledge base is formed. Effective controls are stored in a long-term memory and exploited for further application. After an emergency, the stored knowledge is used to provide guidance in addition to an online learning process. The search efficiencies of genetic learning can be significantly improved. A system simulation of the New England 39-bus system shows the efficiency of the proposed genetic learning control.
{"title":"Knowledge-based learning for emergency voltage control","authors":"Haomin Ma, Sufang Chen, Yinghui Zhang","doi":"10.1109/ICICIP.2015.7388176","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388176","url":null,"abstract":"A new supervised genetic learning control for maintaining voltage profiles after an emergency in power systems is proposed in this study. Search efficiency is improved after introducing system knowledge into the search process of genetic learning. The optimization of the coordinated voltage control is considered a multi-objective optimal problem. Thus, a set of effective controls can be found, and a knowledge base is formed. Effective controls are stored in a long-term memory and exploited for further application. After an emergency, the stored knowledge is used to provide guidance in addition to an online learning process. The search efficiencies of genetic learning can be significantly improved. A system simulation of the New England 39-bus system shows the efficiency of the proposed genetic learning control.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449179","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388164
Qunjiao Zhang, Yao-bin Wei
In this paper, the synchronization for networks of multi-coupled FitzHugh-Nagumo neurons with delayed coupling is investigated. Based on Lyapunov method and linear matrix inequality (LMI) technique, some new sufficient conditions are obtained for the asymptotic stability of the error dynamical networks. The derived theorems are more general than many existing results for two or three coupled neurons. Furthermore, two numerical simulation examples are given to illustrate the effectiveness of our presented theoretical results.
{"title":"LMI-based synchronization criteria for FitzHugh-Nagumo networks with delayed coupling","authors":"Qunjiao Zhang, Yao-bin Wei","doi":"10.1109/ICICIP.2015.7388164","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388164","url":null,"abstract":"In this paper, the synchronization for networks of multi-coupled FitzHugh-Nagumo neurons with delayed coupling is investigated. Based on Lyapunov method and linear matrix inequality (LMI) technique, some new sufficient conditions are obtained for the asymptotic stability of the error dynamical networks. The derived theorems are more general than many existing results for two or three coupled neurons. Furthermore, two numerical simulation examples are given to illustrate the effectiveness of our presented theoretical results.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123974744","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388184
Lu Liu, Dan Wang, Zhouhua Peng
This paper presents a novel guidance law for path following of underactuated marine surface vessels. The proposed guidance law is based on a predictor-based line-of-sight approach, where vehicle sideslip caused by ocean disturbances is fast compensated by an adaptive term. This approach preserves the simplicity and interpretation of conventional line-of-sight guidance, while ensuring sufficient countermeasures against draft force due to vehicle sideslip. The tracking error system and the prediction error system form a cascade system, which is shown to be uniform global asymptotic stable. Simulation results demonstrate the effectiveness of the proposed method.
{"title":"Predictor-based line-of-sight guidance law for path following of underactuated marine surface vessels","authors":"Lu Liu, Dan Wang, Zhouhua Peng","doi":"10.1109/ICICIP.2015.7388184","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388184","url":null,"abstract":"This paper presents a novel guidance law for path following of underactuated marine surface vessels. The proposed guidance law is based on a predictor-based line-of-sight approach, where vehicle sideslip caused by ocean disturbances is fast compensated by an adaptive term. This approach preserves the simplicity and interpretation of conventional line-of-sight guidance, while ensuring sufficient countermeasures against draft force due to vehicle sideslip. The tracking error system and the prediction error system form a cascade system, which is shown to be uniform global asymptotic stable. Simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124109782","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388221
Xiaohong Chen, Yan Sun, Daqing Zhang, Liancheng Zhu
In this paper, a new loop algebra are established, from which an isospectral problem is hence defined. By making use of Tu's scheme, a new integrable system is obtained. It follows that integrable couplings of the system obtained is given. Finally, the Hamiltonian form of a binary symmetric constrained flow of the system obtained is presented.
{"title":"A new integrable hamiltonian hierarchy and associated integrable coupling system","authors":"Xiaohong Chen, Yan Sun, Daqing Zhang, Liancheng Zhu","doi":"10.1109/ICICIP.2015.7388221","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388221","url":null,"abstract":"In this paper, a new loop algebra are established, from which an isospectral problem is hence defined. By making use of Tu's scheme, a new integrable system is obtained. It follows that integrable couplings of the system obtained is given. Finally, the Hamiltonian form of a binary symmetric constrained flow of the system obtained is presented.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245506","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}
Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388223
Xiang Gao, Xiaobao Han, Qiang Fu
This paper puts forward a fuel control method for scramjet test. The control method of the Kholod scramjet flight test was analyzed systematically and regarding combustor surface pressure as the controlled parameter was verified by numerical simulations. The linear mathematical equations were established by system identification and the PID controller was designed for these equations. To validate correctness of the PID controller, series of experiments and simulations were conducted. Finally, the results by the simulations and experiments show that the method introduced in this paper meets the requirement of control precision and quickness.
{"title":"Research on fuel control method of scramjet","authors":"Xiang Gao, Xiaobao Han, Qiang Fu","doi":"10.1109/ICICIP.2015.7388223","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388223","url":null,"abstract":"This paper puts forward a fuel control method for scramjet test. The control method of the Kholod scramjet flight test was analyzed systematically and regarding combustor surface pressure as the controlled parameter was verified by numerical simulations. The linear mathematical equations were established by system identification and the PID controller was designed for these equations. To validate correctness of the PID controller, series of experiments and simulations were conducted. Finally, the results by the simulations and experiments show that the method introduced in this paper meets the requirement of control precision and quickness.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126162121","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}
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