Pub Date : 2013-01-01DOI: 10.3182/20130902-3-CN-3020.00120
Qinglai Wei, Derong Liu
Abstract In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of discrete-time nonlinear systems. The iterative ADP algorithm permits an arbitrary admissible control law to initialize the iterative algorithm. It is the first time that the properties of the policy iterative ADP are established for the discrete-time situation. It proves that the iterative performance index function is non-increasingly convergent to the optimal solution of the Hamilton-Jacobi-Bellman (HJB) equation. It also proves that any of the iterative control policy can stabilize the nonlinear systems. Neural networks are used to approximate the performance index function and compute the optimal control policy, respectively, for facilitating the implementation of the iterative ADP algorithm. Finally, a simulation example is given to illustrate the performance of the present method.
{"title":"A New Self-Learning Optimal Control Scheme for Discrete-Time Nonlinear Systems Using Policy Iterative Adaptive Dynamic Programming","authors":"Qinglai Wei, Derong Liu","doi":"10.3182/20130902-3-CN-3020.00120","DOIUrl":"https://doi.org/10.3182/20130902-3-CN-3020.00120","url":null,"abstract":"Abstract In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of discrete-time nonlinear systems. The iterative ADP algorithm permits an arbitrary admissible control law to initialize the iterative algorithm. It is the first time that the properties of the policy iterative ADP are established for the discrete-time situation. It proves that the iterative performance index function is non-increasingly convergent to the optimal solution of the Hamilton-Jacobi-Bellman (HJB) equation. It also proves that any of the iterative control policy can stabilize the nonlinear systems. Neural networks are used to approximate the performance index function and compute the optimal control policy, respectively, for facilitating the implementation of the iterative ADP algorithm. Finally, a simulation example is given to illustrate the performance of the present method.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75045827","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 : 2013-01-01DOI: 10.3182/20130902-3-CN-3020.00153
Xiansheng Guo, B. Xu, Zhongchu Rao, Hongbin Zhang
Abstract The main drawbacks of indoor localization approach based on Received Signal Strength (RSS) is the sensitivity to the fluctuation of measured RSS at a fixed location in difference time. In this paper, a novel multiple target localization approach is proposed by exploiting virtual fingerprinting, which is calculated from spacial relationship between reference nodes and virtual location nodes. The merits of our proposed method is twofold. First, our proposed method does not require the process of RSS fingerprinting constructing, which is a huge burden of localization methods based on RSS. Secondly, our proposed method is more robust than some existing methods, such as TOA-based method and RSS-based method, in big measurement error case. The efficacy of our proposed method are proven by means of some experimental results.
{"title":"Multiple Targets Localization Approach Based on Virtual Fingerprinting in Indoor Environment","authors":"Xiansheng Guo, B. Xu, Zhongchu Rao, Hongbin Zhang","doi":"10.3182/20130902-3-CN-3020.00153","DOIUrl":"https://doi.org/10.3182/20130902-3-CN-3020.00153","url":null,"abstract":"Abstract The main drawbacks of indoor localization approach based on Received Signal Strength (RSS) is the sensitivity to the fluctuation of measured RSS at a fixed location in difference time. In this paper, a novel multiple target localization approach is proposed by exploiting virtual fingerprinting, which is calculated from spacial relationship between reference nodes and virtual location nodes. The merits of our proposed method is twofold. First, our proposed method does not require the process of RSS fingerprinting constructing, which is a huge burden of localization methods based on RSS. Secondly, our proposed method is more robust than some existing methods, such as TOA-based method and RSS-based method, in big measurement error case. The efficacy of our proposed method are proven by means of some experimental results.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75186253","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 : 2013-01-01DOI: 10.3182/20130902-3-CN-3020.00017
Hongxing Li, Xiangling Kong
Abstract The pressure system of gas collectors of coke oven is a multivariable non-linear process. In this paper, a model reference adaptive control using the compensatory fuzzy neural network for the pressure system of gas collectors of coke oven is presented. The dynamics model of the fuzzy neural network of the system is identified by the adaptive compensatory fuzzy learning algorithm, which can be employed as the identifier of the system. Another fuzzy neural network is trained to learn the inverse dynamics of the pressure system of gas collectors of coke oven so that it can be used as a nonlinear controller. The simulation results testify that the model obtained is satisfied and the control is effective.
{"title":"Model Reference Control Based on Compensatory Fuzzy Neural Network for Gas Collectors of Coke Oven","authors":"Hongxing Li, Xiangling Kong","doi":"10.3182/20130902-3-CN-3020.00017","DOIUrl":"https://doi.org/10.3182/20130902-3-CN-3020.00017","url":null,"abstract":"Abstract The pressure system of gas collectors of coke oven is a multivariable non-linear process. In this paper, a model reference adaptive control using the compensatory fuzzy neural network for the pressure system of gas collectors of coke oven is presented. The dynamics model of the fuzzy neural network of the system is identified by the adaptive compensatory fuzzy learning algorithm, which can be employed as the identifier of the system. Another fuzzy neural network is trained to learn the inverse dynamics of the pressure system of gas collectors of coke oven so that it can be used as a nonlinear controller. The simulation results testify that the model obtained is satisfied and the control is effective.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77104447","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 : 2013-01-01DOI: 10.3182/20130902-3-CN-3020.00162
Liangliang Zhang, Hongbin Zhang, Xiansheng Guo
Abstract This paper investigates the problem of H ∞ decentralized tracking control of discrete-time nonlinear interconnected systems under unreliable communication links via Takagi-Sugeno (T-S) fuzzy model. The T-S fuzzy model consists of N interconnected discrete-time Takagi-Sugeno (T-S) fuzzy subsystems, the decentralized control scheme is adopted and the communication links between the subsystem and controller are assumed to be imperfect, that is, data packet dropouts occur intermittently, which is often the case in a network environment. The data loss is modelled as a random process which obeys a Bernoulli distribution. A piecewise state feedback decentralized controller is designed to stabilize the networked interconnected fuzzy system in the sense of mean square and also achieve a prescribed H ∞ model reference tracking performance based on a piecewise Lyapunov function. Moreover, the required H ∞ controllers can be designed by solving a set of linear matrix inequalities (LMIs). A simulation example is given to show the effectiveness of this approach.
{"title":"Fuzzy-Model-Based Piecewise H∞ Decentralized Tracking Control of Discrete-Time Networked Nonlinear Interconnected Systems","authors":"Liangliang Zhang, Hongbin Zhang, Xiansheng Guo","doi":"10.3182/20130902-3-CN-3020.00162","DOIUrl":"https://doi.org/10.3182/20130902-3-CN-3020.00162","url":null,"abstract":"Abstract This paper investigates the problem of H ∞ decentralized tracking control of discrete-time nonlinear interconnected systems under unreliable communication links via Takagi-Sugeno (T-S) fuzzy model. The T-S fuzzy model consists of N interconnected discrete-time Takagi-Sugeno (T-S) fuzzy subsystems, the decentralized control scheme is adopted and the communication links between the subsystem and controller are assumed to be imperfect, that is, data packet dropouts occur intermittently, which is often the case in a network environment. The data loss is modelled as a random process which obeys a Bernoulli distribution. A piecewise state feedback decentralized controller is designed to stabilize the networked interconnected fuzzy system in the sense of mean square and also achieve a prescribed H ∞ model reference tracking performance based on a piecewise Lyapunov function. Moreover, the required H ∞ controllers can be designed by solving a set of linear matrix inequalities (LMIs). A simulation example is given to show the effectiveness of this approach.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88734805","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 : 2012-08-01DOI: 10.1109/ICONSCS.2012.6502465
Nan Luo, Huan-Chun Xu, D. Xia
This paper proposes an algorithm based on Mean Shift, which improves on the kernel function, alterative weights, combing with Kalman filter and neighborhood searching. These improvements not only enhance the capacity of target tracking, but also reduce the computations to satisfy the need of the real-time job. Furthermore, experimental results illuminate that the proposed algorithm can cope with clutter, target partial occlusions, scale variations and fast moving in the real-time video target tracking.
{"title":"An improved approach to video target tracking based on Mean Shift","authors":"Nan Luo, Huan-Chun Xu, D. Xia","doi":"10.1109/ICONSCS.2012.6502465","DOIUrl":"https://doi.org/10.1109/ICONSCS.2012.6502465","url":null,"abstract":"This paper proposes an algorithm based on Mean Shift, which improves on the kernel function, alterative weights, combing with Kalman filter and neighborhood searching. These improvements not only enhance the capacity of target tracking, but also reduce the computations to satisfy the need of the real-time job. Furthermore, experimental results illuminate that the proposed algorithm can cope with clutter, target partial occlusions, scale variations and fast moving in the real-time video target tracking.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76067267","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 : 2012-08-01DOI: 10.1109/ICONSCS.2012.6502468
Mingjie Cai, Z. Xiang
This paper investigates the design problem of exponential positive observer for a class of discrete-time switched positive linear systems with time-varying delay. A sufficient exponential stability criterion is proposed in terms of linear matrix inequalities (LMIs) for the underlying system under average dwell time switching. Then, based on the stability results, sufficient conditions for the existence of exponential positive observers are established. A numerical example is given to show the effectiveness of the proposed results.
{"title":"Observer design for discrete-time switched positive systems with time-varying delays","authors":"Mingjie Cai, Z. Xiang","doi":"10.1109/ICONSCS.2012.6502468","DOIUrl":"https://doi.org/10.1109/ICONSCS.2012.6502468","url":null,"abstract":"This paper investigates the design problem of exponential positive observer for a class of discrete-time switched positive linear systems with time-varying delay. A sufficient exponential stability criterion is proposed in terms of linear matrix inequalities (LMIs) for the underlying system under average dwell time switching. Then, based on the stability results, sufficient conditions for the existence of exponential positive observers are established. A numerical example is given to show the effectiveness of the proposed results.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81672942","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 : 2012-08-01DOI: 10.1109/ICONSCS.2012.6502466
Jing Wang, D. Xia
Remote sensing image is degraded by a variety of factors. Sub-pixel imaging technology is a state-of-the-art method to reduce the camera size and improve the spatial resolution. In this paper, we introduce several sub-pixel imaging systems and discuss the resolution of different sampling systems. Then we use adapted reciprocal cell to correct the vicarious spectrum and improve the effectively resolution.
{"title":"Improving the effective resolution of optical remote sensor with adapted reciprocal cell","authors":"Jing Wang, D. Xia","doi":"10.1109/ICONSCS.2012.6502466","DOIUrl":"https://doi.org/10.1109/ICONSCS.2012.6502466","url":null,"abstract":"Remote sensing image is degraded by a variety of factors. Sub-pixel imaging technology is a state-of-the-art method to reduce the camera size and improve the spatial resolution. In this paper, we introduce several sub-pixel imaging systems and discuss the resolution of different sampling systems. Then we use adapted reciprocal cell to correct the vicarious spectrum and improve the effectively resolution.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73832460","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 : 2012-08-01DOI: 10.1109/ICONSCS.2012.6502464
Mei Xiang, Z. Xiang
This paper presents the exponential stability, l 1 -gain analysis and control synthesis problems for discrete-time positive switched linear systems with time-varying delays. By using the methods of average dwell time, sufficient stability conditions are proposed and expressed as linear matrix inequalities (LMIs). Based on the obtained results, an effective method which is used for the construction of stabilizing feedback controller is derived, and a numerical example is provided to show the potential of the developed results.
{"title":"Stability, l 1 -gain analysis and control synthesis for delayed discrete-time positive switched systems","authors":"Mei Xiang, Z. Xiang","doi":"10.1109/ICONSCS.2012.6502464","DOIUrl":"https://doi.org/10.1109/ICONSCS.2012.6502464","url":null,"abstract":"This paper presents the exponential stability, l 1 -gain analysis and control synthesis problems for discrete-time positive switched linear systems with time-varying delays. By using the methods of average dwell time, sufficient stability conditions are proposed and expressed as linear matrix inequalities (LMIs). Based on the obtained results, an effective method which is used for the construction of stabilizing feedback controller is derived, and a numerical example is provided to show the potential of the developed results.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73992963","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 : 2012-05-19DOI: 10.1109/ICSAI.2012.6223651
Huang Zhen, Shangqi Gao, Hao Yang, Zhibin Sun, Y. Jiang, G. Zhai, Ming Li
The charged colloidal crystal is one of the hotspots on the condensed physics research. The main reason forming the charged colloidal crystal is that the charged colloidal particles achieve a balance and long orderly arrangement because of the static repelling force between particles and granular Brownian movement. However, the slight fluctuations temperature will cause the strength of Brownian motion changes and then influence the crystallization of colloidal crystal state and crystallization process. This paper solves a key work on the research of colloidal crystal phase dynamics: colloidal crystal solution of high precision low volatility temperature control system. A proportional-integral-derivative (PID) control method based on pulse-width modulation (PWM) is proposed. Then, system identification on the heating system of the sample solution is used to get transfer function, and Hooke-Jeeves pattern search method is used to get optimal parameters of the PID controller.
{"title":"High accuracy temperature control system for charged colloidal crystals","authors":"Huang Zhen, Shangqi Gao, Hao Yang, Zhibin Sun, Y. Jiang, G. Zhai, Ming Li","doi":"10.1109/ICSAI.2012.6223651","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223651","url":null,"abstract":"The charged colloidal crystal is one of the hotspots on the condensed physics research. The main reason forming the charged colloidal crystal is that the charged colloidal particles achieve a balance and long orderly arrangement because of the static repelling force between particles and granular Brownian movement. However, the slight fluctuations temperature will cause the strength of Brownian motion changes and then influence the crystallization of colloidal crystal state and crystallization process. This paper solves a key work on the research of colloidal crystal phase dynamics: colloidal crystal solution of high precision low volatility temperature control system. A proportional-integral-derivative (PID) control method based on pulse-width modulation (PWM) is proposed. Then, system identification on the heating system of the sample solution is used to get transfer function, and Hooke-Jeeves pattern search method is used to get optimal parameters of the PID controller.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84408670","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 : 2012-05-19DOI: 10.1109/ICSAI.2012.6223110
Yu Yao
In order to ensure shipping enterprises' operating profit, the period of shipping operating evaluation and decision are usually understood as a key. This article applies the financial evaluation indicators of shipping operating management process to analysis the relationship between income and expenditure of shipping operation, moreover, the article combines shipping operating data of shipping enterprises with the method of data mining to analysis the relationship of shipping income and cost in the period of shipping enterprises' operating process. Therefore, according to the relationship of shipping income and cost we can make a decision for shipping operating process demand.
{"title":"Research on shipping operating evaluation decision-model based on data mining","authors":"Yu Yao","doi":"10.1109/ICSAI.2012.6223110","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223110","url":null,"abstract":"In order to ensure shipping enterprises' operating profit, the period of shipping operating evaluation and decision are usually understood as a key. This article applies the financial evaluation indicators of shipping operating management process to analysis the relationship between income and expenditure of shipping operation, moreover, the article combines shipping operating data of shipping enterprises with the method of data mining to analysis the relationship of shipping income and cost in the period of shipping enterprises' operating process. Therefore, according to the relationship of shipping income and cost we can make a decision for shipping operating process demand.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80408894","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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