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.2015.7388137
Xiaohui Yang, Tie-shan Li, Wenming Qiao
In this paper, an effective distributed adaptive control method is proposed to solve the second-order average-consensus problem for multi-agent system with nonlinear dynamics. First of all, the distributed adaptive law is put forward in order to solve the problem that each agent can only use its neighboring agents information. Then, the basic idea of backstepping is used to solve the second-order dynamics. Since the neural network has the favorable approximation capability, the uncertain nonlinear dynamics in this paper is solved by it. By combining the aforementioned several methods, the designed controller for each agent can guarantee the average-consensus behavior could be obtained and all the signals here are bounded. Finally, the effectiveness and feasibility of the proposed approach is illustrated by the simulation examples.
{"title":"Distributed adaptive average-consensus control for a class of second-order nonlinear multi-agent system using neural network","authors":"Xiaohui Yang, Tie-shan Li, Wenming Qiao","doi":"10.1109/ICICIP.2015.7388137","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388137","url":null,"abstract":"In this paper, an effective distributed adaptive control method is proposed to solve the second-order average-consensus problem for multi-agent system with nonlinear dynamics. First of all, the distributed adaptive law is put forward in order to solve the problem that each agent can only use its neighboring agents information. Then, the basic idea of backstepping is used to solve the second-order dynamics. Since the neural network has the favorable approximation capability, the uncertain nonlinear dynamics in this paper is solved by it. By combining the aforementioned several methods, the designed controller for each agent can guarantee the average-consensus behavior could be obtained and all the signals here are bounded. Finally, the effectiveness and feasibility of the proposed approach is illustrated by the simulation examples.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"156 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":"116907518","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.2015.7388169
T. Wei, W. Liu, Lifeng Yang
This paper presents the design of a 6-bit, 25 Msps, reference voltage programmable delay-line Analog-to-Digital Converter (ADC), which is aimed to use in the digitally controlled DC-DC switching converters. A new differential bias circuit is used to improve the linearity of delay cells and also the ADC. The reference voltage can be adjusted from 1.8 V to 2.5 V with 0.2 V step, and the input voltage range is limited within ±200mV around the reference voltage. This ADC is implemented in 0.18um CMOS process and works at 3.3 V power supply. The simulation results for this ADC show that, the power dissipation is 450 uW, ENOB is 5.96-bit, DNL and INL is less than ±0.55 LSB and ±0.42 LSB, respectively. The designed ADC has the power-and die area-efficiency, it can be used as the built-in ADC of the digital controller in the digitally controlled DC-DC switching converters.
{"title":"A reference voltage programmable 6-bit differential delay-line ADC for digitally controlled DC-DC switching converters","authors":"T. Wei, W. Liu, Lifeng Yang","doi":"10.1109/ICICIP.2015.7388169","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388169","url":null,"abstract":"This paper presents the design of a 6-bit, 25 Msps, reference voltage programmable delay-line Analog-to-Digital Converter (ADC), which is aimed to use in the digitally controlled DC-DC switching converters. A new differential bias circuit is used to improve the linearity of delay cells and also the ADC. The reference voltage can be adjusted from 1.8 V to 2.5 V with 0.2 V step, and the input voltage range is limited within ±200mV around the reference voltage. This ADC is implemented in 0.18um CMOS process and works at 3.3 V power supply. The simulation results for this ADC show that, the power dissipation is 450 uW, ENOB is 5.96-bit, DNL and INL is less than ±0.55 LSB and ±0.42 LSB, respectively. The designed ADC has the power-and die area-efficiency, it can be used as the built-in ADC of the digital controller in the digitally controlled DC-DC switching converters.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"88 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":"131551627","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.2015.7388173
G. Lin, Xiaochuan Ma, Shefeng Yan, Jincheng Lin
Sparse channel estimation has attracted much attention these years, especially in the area of under water acoustic communication. Compressed sensing methods are popular recently because of their efficiency and stability. In this paper, a stable and fast algorithm termed Selective Regularized Orthogonal Matching Pursuit (SROMP) is proposed based on Orthogonal Matching Pursuit (OMP). By numerical experiments, performance of this algorithm is shown in comparison to conventional LS (least square) algorithm, basic OMP and Stagewise OMP. Simulation results indicate that this methods can estimate sparse channel effectively and accurately outperforming LS and OMP.
{"title":"An improved greedy algorithm for sparse channel estimation","authors":"G. Lin, Xiaochuan Ma, Shefeng Yan, Jincheng Lin","doi":"10.1109/ICICIP.2015.7388173","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388173","url":null,"abstract":"Sparse channel estimation has attracted much attention these years, especially in the area of under water acoustic communication. Compressed sensing methods are popular recently because of their efficiency and stability. In this paper, a stable and fast algorithm termed Selective Regularized Orthogonal Matching Pursuit (SROMP) is proposed based on Orthogonal Matching Pursuit (OMP). By numerical experiments, performance of this algorithm is shown in comparison to conventional LS (least square) algorithm, basic OMP and Stagewise OMP. Simulation results indicate that this methods can estimate sparse channel effectively and accurately outperforming LS and OMP.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"100 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":"133851173","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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