Pub Date : 2017-05-01DOI: 10.1109/DDCLS.2017.8068105
Zunshui Cheng, Konghe Xie
This paper considers a second-order consensus problem for linear multi-agent systems with directed topology. In the systems, each agent can be controlled by controlling its position and velocity. To reach the consensus of the systems, the feedback gain is designed in the control input of the consensus protocol. The control input of each agent is influenced by its position and velocity. There is a directed spanning tree in the corresponding communication topology. This condition is general and weak. Some sufficient conditions are obtained to solve the consensus problem. At last, a simple case is given to verify the efficacy of the proposed controller.
{"title":"Second-order consensus of multi-agent systems with linear dynamics","authors":"Zunshui Cheng, Konghe Xie","doi":"10.1109/DDCLS.2017.8068105","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068105","url":null,"abstract":"This paper considers a second-order consensus problem for linear multi-agent systems with directed topology. In the systems, each agent can be controlled by controlling its position and velocity. To reach the consensus of the systems, the feedback gain is designed in the control input of the consensus protocol. The control input of each agent is influenced by its position and velocity. There is a directed spanning tree in the corresponding communication topology. This condition is general and weak. Some sufficient conditions are obtained to solve the consensus problem. At last, a simple case is given to verify the efficacy of the proposed controller.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125838162","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068156
Ji-Ning Xu, Zhan-Bin Zhao, Feng-Qiang Wang
Deep cone thickener control problem is a key point of Tailings paste fill (TSF). This paper presents a new method to extract inherent and practical parameters of the thickener, and determine control strategy based on thickening process data mining. Bypassing difficulty in deep cone thickener modeling, the proposed method could obtain practical control rules, also has good adaptability to different thickener structures and backfilling materials.
{"title":"Data driven control of underflow slurry concentration in deep cone thickener","authors":"Ji-Ning Xu, Zhan-Bin Zhao, Feng-Qiang Wang","doi":"10.1109/DDCLS.2017.8068156","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068156","url":null,"abstract":"Deep cone thickener control problem is a key point of Tailings paste fill (TSF). This paper presents a new method to extract inherent and practical parameters of the thickener, and determine control strategy based on thickening process data mining. Bypassing difficulty in deep cone thickener modeling, the proposed method could obtain practical control rules, also has good adaptability to different thickener structures and backfilling materials.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121535408","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8067719
H. Tembine
One of the fundamental problems of an interconnected interactive system is the huge amounts of data that are being generated by every entity. Unfortunately, what we seek is not data but information, and therefore, a growing bottleneck is exactly how to extract and learn useful information from data. In this paper, the information-theoretic learning in data-driven games is studied. This learning shows that the imitative Boltzmann-Gibbs strategy is the maximizer of the perturbed payoff where the perturbation function is the relative entropy from the previous strategy to the current one. In particular, the imitative strategy is the best learning scheme with the respect to data-driven games with cost of moves. Based on it, the classical imitative Boltzmann-Gibbs learning in data-driven games is revisited. Due to communication complexity and noisy data measurements, the classical imitative Boltzmann-Gibbs cannot be applied directly in situations were only numerical values of player's own payoff is measured. A combined fully distributed payoff and strategy imitative learning (CODIPAS) is proposed. Connections between the rest points of the resulting game dynamics, equilibria are established.
{"title":"Data-driven vs model-driven imitative learning","authors":"H. Tembine","doi":"10.1109/DDCLS.2017.8067719","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8067719","url":null,"abstract":"One of the fundamental problems of an interconnected interactive system is the huge amounts of data that are being generated by every entity. Unfortunately, what we seek is not data but information, and therefore, a growing bottleneck is exactly how to extract and learn useful information from data. In this paper, the information-theoretic learning in data-driven games is studied. This learning shows that the imitative Boltzmann-Gibbs strategy is the maximizer of the perturbed payoff where the perturbation function is the relative entropy from the previous strategy to the current one. In particular, the imitative strategy is the best learning scheme with the respect to data-driven games with cost of moves. Based on it, the classical imitative Boltzmann-Gibbs learning in data-driven games is revisited. Due to communication complexity and noisy data measurements, the classical imitative Boltzmann-Gibbs cannot be applied directly in situations were only numerical values of player's own payoff is measured. A combined fully distributed payoff and strategy imitative learning (CODIPAS) is proposed. Connections between the rest points of the resulting game dynamics, equilibria are established.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122113130","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068137
Wei Wang, Yu Han, Hua Yu, N. Zhang, Lin Yan
Modern power grid has already become one of the pillar industry of the national economy. The safety and steady operation of power grid is closely related to the development of all walks of life, national economy guarantee the fundamental interests of people. So it is significant to guarantee the safety of grid in production, operation, and the electric power supply. In this paper, connecting with a practical situation caused by dead ground, main transformer gap breakdown, broken CT neutral line, wrong actions of differential protection, and clearance overvoltage, some improvement measures and advices will be put out by comprehensively reviewing and detailed analyzing the reason and process of the accident to avoid the occurrence of such things.
{"title":"Incorrect operation accident's analysis in overvoltage and differential protection of main transformer clearance","authors":"Wei Wang, Yu Han, Hua Yu, N. Zhang, Lin Yan","doi":"10.1109/DDCLS.2017.8068137","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068137","url":null,"abstract":"Modern power grid has already become one of the pillar industry of the national economy. The safety and steady operation of power grid is closely related to the development of all walks of life, national economy guarantee the fundamental interests of people. So it is significant to guarantee the safety of grid in production, operation, and the electric power supply. In this paper, connecting with a practical situation caused by dead ground, main transformer gap breakdown, broken CT neutral line, wrong actions of differential protection, and clearance overvoltage, some improvement measures and advices will be put out by comprehensively reviewing and detailed analyzing the reason and process of the accident to avoid the occurrence of such things.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123228785","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068119
W. Wang, Lin Yan, Mu-qin Tian, Hua Yu, Shaoping Guan
In order to solve the problem of override trip in high-voltage power supply system of coal mine, a new scheme for preventing override trip is proposed on basis of optical fiber locking control. Referring to a typical mine power supply system, the short circuit protection principle of high-voltage grid based on optical fiber locking is analyzed. The hardware circuit, as well as the control procedures of protection devices is developed, and the performance experiments are carried on. It is shown by experiments that the scheme can figure out the coordination between switchgears in high-voltage power grid of coal mine, and can solve the selective problem of over-current protection. In addition, the override trip fault can be prevented effectively. Therefore, through the scheme proposed in this paper, the reliability and safety of the mine power supply system can be improved.
{"title":"Development of protection device for anti-override trip based on optical fiber locking control","authors":"W. Wang, Lin Yan, Mu-qin Tian, Hua Yu, Shaoping Guan","doi":"10.1109/DDCLS.2017.8068119","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068119","url":null,"abstract":"In order to solve the problem of override trip in high-voltage power supply system of coal mine, a new scheme for preventing override trip is proposed on basis of optical fiber locking control. Referring to a typical mine power supply system, the short circuit protection principle of high-voltage grid based on optical fiber locking is analyzed. The hardware circuit, as well as the control procedures of protection devices is developed, and the performance experiments are carried on. It is shown by experiments that the scheme can figure out the coordination between switchgears in high-voltage power grid of coal mine, and can solve the selective problem of over-current protection. In addition, the override trip fault can be prevented effectively. Therefore, through the scheme proposed in this paper, the reliability and safety of the mine power supply system can be improved.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504425","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068093
Shuo Zhen, Z. Hou, Chenkun Yin
A novel data driven predictive control method for networked control systems (NCSs) is presented, where the network links from sensors to controllers and from controllers to actuators are subject to random packet dropouts. In order to make full use of the I/O data of the controlled system to improve system performance, an improved model-free adaptive predictive control (iMFAPC) method is proposed by modifying the criterion function. Then, a networked control scheme is developed based on iMFAPC, whose basic principle is to compensate the lost packets by the corresponding predictive values. Finally, the effectiveness of the proposed control scheme for the packet dropout problem in the networked control system is validated through both simulations and experiments.
{"title":"A novel data-driven predictive control for networked control systems with random packet dropouts","authors":"Shuo Zhen, Z. Hou, Chenkun Yin","doi":"10.1109/DDCLS.2017.8068093","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068093","url":null,"abstract":"A novel data driven predictive control method for networked control systems (NCSs) is presented, where the network links from sensors to controllers and from controllers to actuators are subject to random packet dropouts. In order to make full use of the I/O data of the controlled system to improve system performance, an improved model-free adaptive predictive control (iMFAPC) method is proposed by modifying the criterion function. Then, a networked control scheme is developed based on iMFAPC, whose basic principle is to compensate the lost packets by the corresponding predictive values. Finally, the effectiveness of the proposed control scheme for the packet dropout problem in the networked control system is validated through both simulations and experiments.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132426203","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068126
Jianhui Liu, Bin Zhang
In this paper, robust exponential consensus problems of multi-agent systems with switching topologies and communication delays are investigated by using Lyapunov-Krasovskii functions. A neighbor-based protocol is introduced, based on which the closed-loop system is transformed into a reduced-order form. Sufficient conditions in terms of a matrix inequality are given which guarantee robust exponential consensus of the system with a desired stability degree. In addition, the result is extended to the case in the presence of actuator faults. Simulations are provided to demonstrate the effectiveness of the theoretical results.
{"title":"Robust exponential consensus of multi-agent systems with switching topologies and communication delays","authors":"Jianhui Liu, Bin Zhang","doi":"10.1109/DDCLS.2017.8068126","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068126","url":null,"abstract":"In this paper, robust exponential consensus problems of multi-agent systems with switching topologies and communication delays are investigated by using Lyapunov-Krasovskii functions. A neighbor-based protocol is introduced, based on which the closed-loop system is transformed into a reduced-order form. Sufficient conditions in terms of a matrix inequality are given which guarantee robust exponential consensus of the system with a desired stability degree. In addition, the result is extended to the case in the presence of actuator faults. Simulations are provided to demonstrate the effectiveness of the theoretical results.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130281001","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068104
Chiang-Ju Chien, Ying-Chung Wang, M. Er, R. Chi, D. Shen
In this paper, we present a new adaptive iterative learning controller for a class of discrete-time nonlinear systems with iteration-varying uncertainties including initial tracking error, system parameters and external disturbance. The learning objective is to control the nonlinear system to track an iteration-varying desired trajectory after suitable numbers of learning iterations. The main challenge for the iterative learning control design is that all the system parameters are iteration-varying. After separating the system parameters into a pure time-varying component and an iteration-varying component, the system dynamics are divided into an iteration-independent nominal part and an iteration-dependent uncertain part. An adaptive iterative learning controller is then designed to control the nominal dynamics and an iteration-varying boundary layer with dead-zone like auxiliary error is proposed to compensate for the iteration-varying uncertainties. The control parameters and the width of boundary layer are updated from trial to trial in order to guarantee the stability and convergence of the learning system. In addition to ensure the boundedness of control signals for each iteration and each time instant, we also prove that the norm of output error will asymptotically converge to a residual set whose size depends on the width of boundary layer as iteration number goes to infinity.
{"title":"An adaptive iterative learning control for discrete-time nonlinear systems with iteration-varying uncertainties","authors":"Chiang-Ju Chien, Ying-Chung Wang, M. Er, R. Chi, D. Shen","doi":"10.1109/DDCLS.2017.8068104","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068104","url":null,"abstract":"In this paper, we present a new adaptive iterative learning controller for a class of discrete-time nonlinear systems with iteration-varying uncertainties including initial tracking error, system parameters and external disturbance. The learning objective is to control the nonlinear system to track an iteration-varying desired trajectory after suitable numbers of learning iterations. The main challenge for the iterative learning control design is that all the system parameters are iteration-varying. After separating the system parameters into a pure time-varying component and an iteration-varying component, the system dynamics are divided into an iteration-independent nominal part and an iteration-dependent uncertain part. An adaptive iterative learning controller is then designed to control the nominal dynamics and an iteration-varying boundary layer with dead-zone like auxiliary error is proposed to compensate for the iteration-varying uncertainties. The control parameters and the width of boundary layer are updated from trial to trial in order to guarantee the stability and convergence of the learning system. In addition to ensure the boundedness of control signals for each iteration and each time instant, we also prove that the norm of output error will asymptotically converge to a residual set whose size depends on the width of boundary layer as iteration number goes to infinity.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133730973","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}
Data fusion for parameter estimation with multi-structure and unequal-precision is considered in this paper. Matrix tools e.g., congruent transformation, trace function and matrix differential, are used to analyze the estimation performance. Theoretical results reveal that: the single equipment estimate, the optimal fusion estimate, and the joint estimate are some special cases of the fusion estimate. Moreover, the precisions of different fusion estimation methods are compared, the relations among which are provided in the following theorems. The performance of the four estimates are validated by the simulation of trajectory calculation for the V-2 missile.
{"title":"Data fusion for multi-structure and unequal-precision estimation","authors":"Zhangming He, Zhengfang Ma, Jiongqi Wang, Xuanying Zhou, Zhiwen Chen, Dayi Wang, Bowen Hou","doi":"10.1109/DDCLS.2017.8068068","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068068","url":null,"abstract":"Data fusion for parameter estimation with multi-structure and unequal-precision is considered in this paper. Matrix tools e.g., congruent transformation, trace function and matrix differential, are used to analyze the estimation performance. Theoretical results reveal that: the single equipment estimate, the optimal fusion estimate, and the joint estimate are some special cases of the fusion estimate. Moreover, the precisions of different fusion estimation methods are compared, the relations among which are provided in the following theorems. The performance of the four estimates are validated by the simulation of trajectory calculation for the V-2 missile.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133864474","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 : 2017-05-01DOI: 10.1109/DDCLS.2017.8068144
Mingxuan Sun, Wen-ya Zhou, Qiang Chen
This paper addresses the problem of repetitive control for systems in which the reference input is a periodic signal, with known a period. The sliding mode repetitive controller based on switching-function dynamics is designed to eliminate the disturbances with the same period. In exponential reaching law, the sign function is replaced with power item to decrease chattering and a measure of disturbance-rejection is embedded in so as to solve the system uncertainties. In order to characterize the performance of closed system, monotone decreasing area boundary and absolute convergence layer boundary of switching-variate are defined and the bounds are derived in details.
{"title":"Switching-function dynamics based design of sliding mode repetitive controllers","authors":"Mingxuan Sun, Wen-ya Zhou, Qiang Chen","doi":"10.1109/DDCLS.2017.8068144","DOIUrl":"https://doi.org/10.1109/DDCLS.2017.8068144","url":null,"abstract":"This paper addresses the problem of repetitive control for systems in which the reference input is a periodic signal, with known a period. The sliding mode repetitive controller based on switching-function dynamics is designed to eliminate the disturbances with the same period. In exponential reaching law, the sign function is replaced with power item to decrease chattering and a measure of disturbance-rejection is embedded in so as to solve the system uncertainties. In order to characterize the performance of closed system, monotone decreasing area boundary and absolute convergence layer boundary of switching-variate are defined and the bounds are derived in details.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125602","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：