Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388148
Yulin Wang, T. Wei, Feng Li, Nan Chen
In this paper, a novel digital proportional derivative (D-PD) control algorithm combined with steady-state error elimination is proposed for digitally controlled DC-DC switching converters. The system steady-state error due to the absence of integral in D-PD is eliminated by a register-based error-shift technique without increasing hardware circuit scale. Compared with the digital proportional integral derivative (D-PID) control, proposed control algorithm has fast transient response speed and small overshoot, and also it is easily implemented by hardware circuit as compared with the fuzzy and non-linear control. The design method of voltage compensator in z-domain is given, and the experimental results based on FPGA are provided, which have verified the theoretical analysis results very well. It can be concluded that, the proposed D-PD control algorithm with steady-state error elimination has the advantages of better transient performances and easier hardware implementation simultaneously over the existed control algorithms, therefore it can be used for voltage feedback control in digitally controlled DC-DC switching converters.
{"title":"Digital proportional derivative control with steady-state error elimination for DC-DC switching converter","authors":"Yulin Wang, T. Wei, Feng Li, Nan Chen","doi":"10.1109/ICICIP.2015.7388148","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388148","url":null,"abstract":"In this paper, a novel digital proportional derivative (D-PD) control algorithm combined with steady-state error elimination is proposed for digitally controlled DC-DC switching converters. The system steady-state error due to the absence of integral in D-PD is eliminated by a register-based error-shift technique without increasing hardware circuit scale. Compared with the digital proportional integral derivative (D-PID) control, proposed control algorithm has fast transient response speed and small overshoot, and also it is easily implemented by hardware circuit as compared with the fuzzy and non-linear control. The design method of voltage compensator in z-domain is given, and the experimental results based on FPGA are provided, which have verified the theoretical analysis results very well. It can be concluded that, the proposed D-PD control algorithm with steady-state error elimination has the advantages of better transient performances and easier hardware implementation simultaneously over the existed control algorithms, therefore it can be used for voltage feedback control in digitally controlled DC-DC switching converters.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"9 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":"125148326","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.2015.7388185
Jie Liu, Hongling Liu, Zejia Huang, Qiang Tang
In this brief paper, based on multiplex visibility graphs technique, a simple and fast computational method was proposed to fulfill converting high dimensional timeseries into a multiplex graph with different characters. The constructed multiplex graph inherits several properties of the time series in its structure. Thereby, periodic series, random series, and chaotic series convert into quite different multiplex networks with different average degree, characteristic path length, diameter, clustering coefficient, different degree distribution, and modularity, etc. By means of this new approach, with such different networks measures, one can characterize multivariate timeseries from a new viewpoint of complex networks.
{"title":"Differ multivariate timeseries from each other based on a simple multiplex visibility graphs technique","authors":"Jie Liu, Hongling Liu, Zejia Huang, Qiang Tang","doi":"10.1109/ICICIP.2015.7388185","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388185","url":null,"abstract":"In this brief paper, based on multiplex visibility graphs technique, a simple and fast computational method was proposed to fulfill converting high dimensional timeseries into a multiplex graph with different characters. The constructed multiplex graph inherits several properties of the time series in its structure. Thereby, periodic series, random series, and chaotic series convert into quite different multiplex networks with different average degree, characteristic path length, diameter, clustering coefficient, different degree distribution, and modularity, etc. By means of this new approach, with such different networks measures, one can characterize multivariate timeseries from a new viewpoint of complex networks.","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":"123692901","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.2015.7388154
X. Fan, Tian Qin, Ben Niu
In this paper, an adaptive neural tracking control approach is proposed for a class of switched stochastic pure-feedback nonlinear systems with backlash-like hysteresis. In the design produce, an affine variable is constructed, which avoids the use of the mean value theorem, and the additional first-order low-pass filter is employed to deal with the problem of explosion of complexity. Then a common Laypunov function (CLF) and a state feedback controller is explicitly obtained for all subsystems. It is proved that the proposed controller guarantees all signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) and the tracking error remains an adjustable neighborhood of the origin.
{"title":"Adaptive neural tracking control for switched stochastic pure-feedback nonlinear systems with backlash-like hysteresis","authors":"X. Fan, Tian Qin, Ben Niu","doi":"10.1109/ICICIP.2015.7388154","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388154","url":null,"abstract":"In this paper, an adaptive neural tracking control approach is proposed for a class of switched stochastic pure-feedback nonlinear systems with backlash-like hysteresis. In the design produce, an affine variable is constructed, which avoids the use of the mean value theorem, and the additional first-order low-pass filter is employed to deal with the problem of explosion of complexity. Then a common Laypunov function (CLF) and a state feedback controller is explicitly obtained for all subsystems. It is proved that the proposed controller guarantees all signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) and the tracking error remains an adjustable neighborhood of the origin.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"105 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":"116081104","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.2015.7388141
Wei Zeng, Honghai Zhu, Li Hui, Zhi Wang, Xiangtao Ran
Wave measurement technique based on ship motion response is a new technique used in moving vessels. Scholars mainly use parametric method to estimate wave, but the calculation of parametric method is complicated, the calculation time of parametric method is long, and the calculation values of parametric method is difficult to guarantee, The paper works on improving the existing parametric method. First, wave directional spectrum model is separated into wave distribution model and wave power spectrum model in the paper; Second, the parameters of the above two models are calculated separately. The improved parametric method reduces the number of parameters during nonlinear equation optimization process, which is more simple and accurate; finally the improved parametric method is validated by simulation.
{"title":"Improved parametric method applied to wave estimation based on ship motion responses","authors":"Wei Zeng, Honghai Zhu, Li Hui, Zhi Wang, Xiangtao Ran","doi":"10.1109/ICICIP.2015.7388141","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388141","url":null,"abstract":"Wave measurement technique based on ship motion response is a new technique used in moving vessels. Scholars mainly use parametric method to estimate wave, but the calculation of parametric method is complicated, the calculation time of parametric method is long, and the calculation values of parametric method is difficult to guarantee, The paper works on improving the existing parametric method. First, wave directional spectrum model is separated into wave distribution model and wave power spectrum model in the paper; Second, the parameters of the above two models are calculated separately. The improved parametric method reduces the number of parameters during nonlinear equation optimization process, which is more simple and accurate; finally the improved parametric method is validated by simulation.","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":"128631297","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.2015.7388168
Huailin Shu, Xiaogang Wang, Zihang Huang
System identification is the basis for control system design. For linear time-invariant systems have a variety of identification methods, identification methods for nonlinear dynamic system is still in the exploratory stage. Nonlinear identification method based on neural network is a simple and effective general method that does not require too much priori experience about the system to be identified. Through training and learning, the network weights are corrected to achieve the purpose of system identification. The paper is about the identification of multivariable nonlinear dynamic system based on PID neural network. The structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The system identification is completed and the results are fast convergence.
{"title":"Identification of multivariate system based on PID neural network","authors":"Huailin Shu, Xiaogang Wang, Zihang Huang","doi":"10.1109/ICICIP.2015.7388168","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388168","url":null,"abstract":"System identification is the basis for control system design. For linear time-invariant systems have a variety of identification methods, identification methods for nonlinear dynamic system is still in the exploratory stage. Nonlinear identification method based on neural network is a simple and effective general method that does not require too much priori experience about the system to be identified. Through training and learning, the network weights are corrected to achieve the purpose of system identification. The paper is about the identification of multivariable nonlinear dynamic system based on PID neural network. The structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The system identification is completed and the results are fast convergence.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"248 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":"123952198","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.2015.7388229
Bin Qiu, X. Liao, Bo Zhou
In this paper, the state estimation problem is investigated for complex-valued neural networks(CVNNS) with discrete interval time-varying delays as well as general activation funcions. By constructing appropriate Lyapunov-Krasovskii functional and employing Newton-Leibniz formulation, linear matrix inequality(LMI) technique and computational criteria in complex domain, some conditions are derived to estimate the neuron state with some available output measurements such that the error-state system is global asymptotically stable. One example are given to show the effectiveness of the theoretical analysis.
{"title":"State estimation for complex-valued neural networks with time-varying delays","authors":"Bin Qiu, X. Liao, Bo Zhou","doi":"10.1109/ICICIP.2015.7388229","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388229","url":null,"abstract":"In this paper, the state estimation problem is investigated for complex-valued neural networks(CVNNS) with discrete interval time-varying delays as well as general activation funcions. By constructing appropriate Lyapunov-Krasovskii functional and employing Newton-Leibniz formulation, linear matrix inequality(LMI) technique and computational criteria in complex domain, some conditions are derived to estimate the neuron state with some available output measurements such that the error-state system is global asymptotically stable. One example are given to show the effectiveness of the theoretical analysis.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"42 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":"127611283","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.2015.7388138
Aihua Wang, Lu Li
This paper studies the robust stabilization problem for a class of uncertain high-order nonlinear lower-triangular systems subject to state constraints. A constructive method is developed to design a state-feedback controller for the system such that the closed-loop system is asymptotically stable in a domain while satisfying the state constraint is not disobeyed, and all signals in the closed-loop are bounded. In the end, a simulation example is given to illustrate the validity of the developed results.
{"title":"Robust stabilization for a class of high-order nonlinear lower-triangular systems with state constraints","authors":"Aihua Wang, Lu Li","doi":"10.1109/ICICIP.2015.7388138","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388138","url":null,"abstract":"This paper studies the robust stabilization problem for a class of uncertain high-order nonlinear lower-triangular systems subject to state constraints. A constructive method is developed to design a state-feedback controller for the system such that the closed-loop system is asymptotically stable in a domain while satisfying the state constraint is not disobeyed, and all signals in the closed-loop are bounded. In the end, a simulation example is given to illustrate the validity of the developed results.","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":"126001387","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.2015.7388225
Wei Qi, Dong Xu, Xing-Jun Chen
Synchronization attack is one of the key issues of digital audio watermarking. It is a challenging work to design a robust audio watermarking scheme against de-synchronization attacks. In this paper, a robust digital audio watermarking algorithm is presented, which can resist synchronization attack effectively. The features of the algorithm are as follows: (1) More steady features extraction and new embedded strategy are adopted to resist the synchronization attack effectively. (2) The candidate audio segments for embedding watermark are defined by using the feature points. (3) The digital watermark is embedded into a host audio by modulating the statistics average value of audio samples. (4) The algorithm can extract the watermark without the help of the original audio signal. (5) In digital watermark detection, the feature points are selected by the same technique as the embedding, and the digital watermark is extracted from the watermarked audio after the feature Points. Experimental results show that our synchronization audio watermarking scheme is not only inaudible and robust against various common signal processing (such as noise adding, resampling, re-quantization and MP3 compression and so on), but also robust against de-synchronization attacks such as random cropping, amplitude variation, time-scale modification, and jittering etc.
{"title":"A self-synchronization digital audio watermarking based on support vector regression","authors":"Wei Qi, Dong Xu, Xing-Jun Chen","doi":"10.1109/ICICIP.2015.7388225","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388225","url":null,"abstract":"Synchronization attack is one of the key issues of digital audio watermarking. It is a challenging work to design a robust audio watermarking scheme against de-synchronization attacks. In this paper, a robust digital audio watermarking algorithm is presented, which can resist synchronization attack effectively. The features of the algorithm are as follows: (1) More steady features extraction and new embedded strategy are adopted to resist the synchronization attack effectively. (2) The candidate audio segments for embedding watermark are defined by using the feature points. (3) The digital watermark is embedded into a host audio by modulating the statistics average value of audio samples. (4) The algorithm can extract the watermark without the help of the original audio signal. (5) In digital watermark detection, the feature points are selected by the same technique as the embedding, and the digital watermark is extracted from the watermarked audio after the feature Points. Experimental results show that our synchronization audio watermarking scheme is not only inaudible and robust against various common signal processing (such as noise adding, resampling, re-quantization and MP3 compression and so on), but also robust against de-synchronization attacks such as random cropping, amplitude variation, time-scale modification, and jittering etc.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"44 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":"131360572","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.2015.7388207
G. Wang, Yong-guang Chen, Suo-chang Yang, Min Gao, Ganlin Shan
In order to detect salient target in remote sensing images effectively and accurately, this paper propose a target segmentation method based on cellular automata which is usually used as a dynamic evolution model. First, we introduce the background based map to obtain saliency map with the help of a widely used superpixel segmentation method named simple linear iterative clustering. Secondly, cellular automata are employed to produce the elementary saliency map. Then enhanced saliency map can be obtained by maximum contrast of image patch method. Adaptive threshold is calculated to segment the enhanced saliency map. Consequently, the salient target detection and segmentation result can be obtained. Experiments on optical remote sensing images and synthetic aperture radar (SAR) images demonstrate that the proposed algorithm outperforms other methods such as K-means, Otsu and region growing method.
{"title":"Salient target detection in remote sensing image via cellular automata","authors":"G. Wang, Yong-guang Chen, Suo-chang Yang, Min Gao, Ganlin Shan","doi":"10.1109/ICICIP.2015.7388207","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388207","url":null,"abstract":"In order to detect salient target in remote sensing images effectively and accurately, this paper propose a target segmentation method based on cellular automata which is usually used as a dynamic evolution model. First, we introduce the background based map to obtain saliency map with the help of a widely used superpixel segmentation method named simple linear iterative clustering. Secondly, cellular automata are employed to produce the elementary saliency map. Then enhanced saliency map can be obtained by maximum contrast of image patch method. Adaptive threshold is calculated to segment the enhanced saliency map. Consequently, the salient target detection and segmentation result can be obtained. Experiments on optical remote sensing images and synthetic aperture radar (SAR) images demonstrate that the proposed algorithm outperforms other methods such as K-means, Otsu and region growing method.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"37 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":"132068043","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.2015.7388159
Zhuo Dai, Hong-mei Dai
The paper proposes a model of multi-objective forestry-paper supply chain network with risks under fuzzy environment. Minimizing the risks and the total cost of forestry supply chain network is the objective of this study. The lower semi-variance is used to measure the risks. The total cost is composed of variable cost, fixed cost, and transportation cost. Different from previous literature, an approximation method is put forward to convert a continuous fuzzy issue into discrete fuzzy issue and method of auxiliary variable is introduced to transform multi-objective problem into single-objective problem. Cplex 12.6 is used to deal with this problem. The results are as follows. First, this model can be well solved by Cplex 12.6. Second, the structure of forestry-paper supply chain network keeps unchanged with the increase of discretization points. Third, the lower semi-variance and expected value of total cost converge with the increase of discretization points.
{"title":"Multi-objective fuzzy design of forestry-paper supply chain network","authors":"Zhuo Dai, Hong-mei Dai","doi":"10.1109/ICICIP.2015.7388159","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388159","url":null,"abstract":"The paper proposes a model of multi-objective forestry-paper supply chain network with risks under fuzzy environment. Minimizing the risks and the total cost of forestry supply chain network is the objective of this study. The lower semi-variance is used to measure the risks. The total cost is composed of variable cost, fixed cost, and transportation cost. Different from previous literature, an approximation method is put forward to convert a continuous fuzzy issue into discrete fuzzy issue and method of auxiliary variable is introduced to transform multi-objective problem into single-objective problem. Cplex 12.6 is used to deal with this problem. The results are as follows. First, this model can be well solved by Cplex 12.6. Second, the structure of forestry-paper supply chain network keeps unchanged with the increase of discretization points. Third, the lower semi-variance and expected value of total cost converge with the increase of discretization points.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"4 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":"130274100","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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