Pub Date : 2018-07-01DOI: 10.23919/CHICC.2018.8483299
Yulin Wang, Sheng Tang, Jie Guo, Chao Liu
This paper addresses the modeling and controllability analysis for the hybrid multi-body systems of a quadrotor with a cable suspended load. According to the cable is stressed or not, two subsystems of this hybrid multi-body model are built on the nonlinear manifolds $mathbb{R}^{3}times mathbb{R}^{3}times SO(3)$ and $mathbb{R}^{3}times mathbb{S}^{2}times SO(3)$, respectively, which have simpler and more global expressions compared with those on local parameter presentations. And the switching characteristics between these two subsystems are considered. Moreover, it is verified that the subsystem with zero cable tension is uncontrollable and the subsystem with nonzero cable tension is linear locally controllable and small time local controllable (STLC) using linear and nonlinear theory, respectively
{"title":"Geometric Modeling and Controllability Analysis of a Quadrotor with a Suspended Load","authors":"Yulin Wang, Sheng Tang, Jie Guo, Chao Liu","doi":"10.23919/CHICC.2018.8483299","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483299","url":null,"abstract":"This paper addresses the modeling and controllability analysis for the hybrid multi-body systems of a quadrotor with a cable suspended load. According to the cable is stressed or not, two subsystems of this hybrid multi-body model are built on the nonlinear manifolds $mathbb{R}^{3}times mathbb{R}^{3}times SO(3)$ and $mathbb{R}^{3}times mathbb{S}^{2}times SO(3)$, respectively, which have simpler and more global expressions compared with those on local parameter presentations. And the switching characteristics between these two subsystems are considered. Moreover, it is verified that the subsystem with zero cable tension is uncontrollable and the subsystem with nonzero cable tension is linear locally controllable and small time local controllable (STLC) using linear and nonlinear theory, respectively","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130412195","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482651
Xiaohui Liao, Jingqi Yan
In the era of information explosion, processing and analyzing large-scale and high-dimensional data sets has become a big challenge for data mining and machine learning. In order to obtain and intuitively understand the information underlying the big data, an effective visualization technique is on demand. Many successful visualization techniques project high-dimensional data sets into low-dimensional spaces so that we can present data points in scatter plots, histograms or parallel coordinate plots. In this paper, we propose a new algorithm called PCNE, the algorithm first performs a probabilistic clustering algorithm for coarse classification on the data sets, and then reconstruct the joint probability with the heuristic information of classification results and neighborhood relationship. Our experimental results on the public data sets demonstrate that the PCNE algorithm outperforms the classical embedding algorithms in revealing both local and global structures of data.
{"title":"Data Visualization with Probabilistic Clustering and Neighbor Embedding","authors":"Xiaohui Liao, Jingqi Yan","doi":"10.23919/CHICC.2018.8482651","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482651","url":null,"abstract":"In the era of information explosion, processing and analyzing large-scale and high-dimensional data sets has become a big challenge for data mining and machine learning. In order to obtain and intuitively understand the information underlying the big data, an effective visualization technique is on demand. Many successful visualization techniques project high-dimensional data sets into low-dimensional spaces so that we can present data points in scatter plots, histograms or parallel coordinate plots. In this paper, we propose a new algorithm called PCNE, the algorithm first performs a probabilistic clustering algorithm for coarse classification on the data sets, and then reconstruct the joint probability with the heuristic information of classification results and neighborhood relationship. Our experimental results on the public data sets demonstrate that the PCNE algorithm outperforms the classical embedding algorithms in revealing both local and global structures of data.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126665168","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483901
Junwei Kong, Z. Hou, Ye Ren
In recent research, the macroscopic fundamental diagram (MFD) has been proved to be a powerful tool for large urban network modelling and control. This paper proposes a novel concept of queue length based MFD (QMFD) considering the fact that queue length is usually regarded as an important index to evaluate the efficiency of intersections. Compared to traditional MFD, the QMFD can reflect the traffic status more intuitively and can be understood more easily by transportation managers and residents. However, the queue length of some links may not be obtained directly in real situations if no fixed detector is available. To solve this problem, this paper proposes a floating car data (FCD) based method to estimate the QMFD. Firstly, a new queue length estimation method is developed by using BP neural network with different floating car percentage. Secondly, based on the estimated queue length, QMFD is calculated by fitting the relationship between the average queue length and other macroscopic traffic parameters such as average flow at intersections. Finally, the proposed method is verified by the traffic data provided by traffic simulation software VISSIM with the real road networks of Beijing's Second Ring Road. The simulation results demonstrate the effectiveness of the proposed queue length estimation method, and also reveal the existence of QMFD.
{"title":"Findings on Queue Length Based Macroscopic Fundamental Diagrams with Enhanced Floating Car Estimation Method","authors":"Junwei Kong, Z. Hou, Ye Ren","doi":"10.23919/CHICC.2018.8483901","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483901","url":null,"abstract":"In recent research, the macroscopic fundamental diagram (MFD) has been proved to be a powerful tool for large urban network modelling and control. This paper proposes a novel concept of queue length based MFD (QMFD) considering the fact that queue length is usually regarded as an important index to evaluate the efficiency of intersections. Compared to traditional MFD, the QMFD can reflect the traffic status more intuitively and can be understood more easily by transportation managers and residents. However, the queue length of some links may not be obtained directly in real situations if no fixed detector is available. To solve this problem, this paper proposes a floating car data (FCD) based method to estimate the QMFD. Firstly, a new queue length estimation method is developed by using BP neural network with different floating car percentage. Secondly, based on the estimated queue length, QMFD is calculated by fitting the relationship between the average queue length and other macroscopic traffic parameters such as average flow at intersections. Finally, the proposed method is verified by the traffic data provided by traffic simulation software VISSIM with the real road networks of Beijing's Second Ring Road. The simulation results demonstrate the effectiveness of the proposed queue length estimation method, and also reveal the existence of QMFD.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126822248","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483185
Jiantao Shi, Le Xin, Jun Sun, Yuhao Yang, Ning Wang
In this paper, the fault estimation (FE) problem for a class of nonlinear repetitive systems with bounded initial state errors is investigated by using an accelerated iterative learning (IL) approach. In each iteration, only the boundedness condition is known, which can reduce the conservativeness of IL methods when applied to industrial production. The traditional IL algorithm is modified by adding a weight coefficient to accelerate the learning speed and weaken or even eliminate the negative influence of initial state errors on the convergence of fault estimation errors. A sufficient condition is established for guaranteeing accurate fault estimation under the proposed IL-based scheme as the iteration numbers increase. Finally, illustrative examples are presented to verify the effectiveness of the proposed modified fault estimation scheme.
{"title":"Fault Estimation for Nonlinear Repetitive Systems: An Iterative Learning Approach","authors":"Jiantao Shi, Le Xin, Jun Sun, Yuhao Yang, Ning Wang","doi":"10.23919/CHICC.2018.8483185","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483185","url":null,"abstract":"In this paper, the fault estimation (FE) problem for a class of nonlinear repetitive systems with bounded initial state errors is investigated by using an accelerated iterative learning (IL) approach. In each iteration, only the boundedness condition is known, which can reduce the conservativeness of IL methods when applied to industrial production. The traditional IL algorithm is modified by adding a weight coefficient to accelerate the learning speed and weaken or even eliminate the negative influence of initial state errors on the convergence of fault estimation errors. A sufficient condition is established for guaranteeing accurate fault estimation under the proposed IL-based scheme as the iteration numbers increase. Finally, illustrative examples are presented to verify the effectiveness of the proposed modified fault estimation scheme.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129294625","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483832
Na Hu, Hui Ma, Tao Zhan
Finger vein recognition is an emerging biometrics technology. Using the global information of finger vein images, this paper presents a method of finger vein recognition combining the texture feature fusion algorithm of LBP operator and 2DPCA algorithm. First of all, the texture feature of finger vein image was extracted by LBP operator, and then a two-dimensional principal component analysis is used to project the transformed image for feature extraction. Euclidean distance measures the similarity between test and training samples. Experiments in the Tianjin Intelligence Lab image database and FV-USM finger vein database show that the proposed method is effective and reliable and improves the performance of a finger-vein identification system.
{"title":"A New Finger Vein Recognition Method Based on LBP and 2DPCA","authors":"Na Hu, Hui Ma, Tao Zhan","doi":"10.23919/CHICC.2018.8483832","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483832","url":null,"abstract":"Finger vein recognition is an emerging biometrics technology. Using the global information of finger vein images, this paper presents a method of finger vein recognition combining the texture feature fusion algorithm of LBP operator and 2DPCA algorithm. First of all, the texture feature of finger vein image was extracted by LBP operator, and then a two-dimensional principal component analysis is used to project the transformed image for feature extraction. Euclidean distance measures the similarity between test and training samples. Experiments in the Tianjin Intelligence Lab image database and FV-USM finger vein database show that the proposed method is effective and reliable and improves the performance of a finger-vein identification system.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130650840","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482935
Qiao Zhu, Jun'xiong Cherr, Mengen Xu
This work focuses on the model-free iterative learning control (ILC) design with good transient performance and fast convergence rate that is employed for precision control of a wafter stage. First, the experimental setup, the mathematical model, and the desired reference are introduced. Notice that the desired reference and its internal model (IM) are known in advance. Then, based on the internal model principle (IMP), a new ILC scheme, named as 1M-based ILC, is proposed by incorporating the 1M of the reference. The proposed 1M-based ILC is model-free, that is, independent on the system model of the controlled plant. The 1M -based ILC is carefully constructed to track the reference along the time axis while tracking/rejecting repetitive variations along the iteration axis. Precisely because of the tracking capability along the time axis in every iteration, the 1M-based ILC can achieve satisfactory performance even in the 0th iteration and improve the transient performance and the convergence speed. In addition, the 2-D $H_{infty}$ theory is used to establish the design criterion for the 1M-based ILC. Finally, in the experiments, the efficiency of the 1M-based ILC is illustrated by comparing with a P-type ILC and a model-based one.
{"title":"An Internal Model Based Iterative Learning Control for Wafer Scanner Systems","authors":"Qiao Zhu, Jun'xiong Cherr, Mengen Xu","doi":"10.23919/CHICC.2018.8482935","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482935","url":null,"abstract":"This work focuses on the model-free iterative learning control (ILC) design with good transient performance and fast convergence rate that is employed for precision control of a wafter stage. First, the experimental setup, the mathematical model, and the desired reference are introduced. Notice that the desired reference and its internal model (IM) are known in advance. Then, based on the internal model principle (IMP), a new ILC scheme, named as 1M-based ILC, is proposed by incorporating the 1M of the reference. The proposed 1M-based ILC is model-free, that is, independent on the system model of the controlled plant. The 1M -based ILC is carefully constructed to track the reference along the time axis while tracking/rejecting repetitive variations along the iteration axis. Precisely because of the tracking capability along the time axis in every iteration, the 1M-based ILC can achieve satisfactory performance even in the 0th iteration and improve the transient performance and the convergence speed. In addition, the 2-D $H_{infty}$ theory is used to establish the design criterion for the 1M-based ILC. Finally, in the experiments, the efficiency of the 1M-based ILC is illustrated by comparing with a P-type ILC and a model-based one.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123857642","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483897
Z. Xiao, Min Xiao, Binbin Tao
In this paper, we study the bifurcation control in a small-world network with time delay. The time delay is chosen as its bifurcation parameter, and the characteristic equation is analyzed to construct the conditions of the stability and Hopf bifurcation. We find that the onset of Hopf bifurcation can be advanced or delayed by adjusting the parameter of the delayed feedback control. Finally, numerical simulations are carried out to verify the theoretical analysis. Moreover, the relationship between the control parameter and the onset of bifurcation is given.
{"title":"Hopf Bifurcation in Small-World Network Model via Time-Delayed Feedback Control","authors":"Z. Xiao, Min Xiao, Binbin Tao","doi":"10.23919/CHICC.2018.8483897","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483897","url":null,"abstract":"In this paper, we study the bifurcation control in a small-world network with time delay. The time delay is chosen as its bifurcation parameter, and the characteristic equation is analyzed to construct the conditions of the stability and Hopf bifurcation. We find that the onset of Hopf bifurcation can be advanced or delayed by adjusting the parameter of the delayed feedback control. Finally, numerical simulations are carried out to verify the theoretical analysis. Moreover, the relationship between the control parameter and the onset of bifurcation is given.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124247789","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8484049
Yan Li, R. Wang, Guofeng Wang, Cunhe Li, Yunsheng Fan, Jian Liu
In order to minimize the torque ripple of SRM, a predictive direct torque control (PDTC) method is proposed in this paper. Firstly, a discrete predictive model is established by the accurate measurement the static electromagnetic characteristics of SRM. The future value of output torque of the SRM is predicted using this predictive model. Secondly, the torque sharing function is used to share the total torque reference to each phase. Then, the cost function of each phase is designed to simultaneously minimize the torque ripple and reduce switching frequency. Further, the optimal switching state of the minimum predefined cost function is selected to be output to the phase power converter. Compared with the conventional direct torque control method, the proposed PDTC method does not need to formulate complex hysteresis control rules, and can effectively suppress torque ripples. Finally, the validity of proposed control scheme is verified by the simulation results of a three-phase 12/8 pole SRM.
{"title":"Predictive Direct Torque Control for Switched Reluctance Motor Drive System","authors":"Yan Li, R. Wang, Guofeng Wang, Cunhe Li, Yunsheng Fan, Jian Liu","doi":"10.23919/CHICC.2018.8484049","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8484049","url":null,"abstract":"In order to minimize the torque ripple of SRM, a predictive direct torque control (PDTC) method is proposed in this paper. Firstly, a discrete predictive model is established by the accurate measurement the static electromagnetic characteristics of SRM. The future value of output torque of the SRM is predicted using this predictive model. Secondly, the torque sharing function is used to share the total torque reference to each phase. Then, the cost function of each phase is designed to simultaneously minimize the torque ripple and reduce switching frequency. Further, the optimal switching state of the minimum predefined cost function is selected to be output to the phase power converter. Compared with the conventional direct torque control method, the proposed PDTC method does not need to formulate complex hysteresis control rules, and can effectively suppress torque ripples. Finally, the validity of proposed control scheme is verified by the simulation results of a three-phase 12/8 pole SRM.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123225830","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482909
Bin Shi, Chao Xu, Rebing Wu
The optimal control problem of the closed quantum systems can be equivalent to the parameters optimization problem of bilinear control systems. Numerical optimization techniques such as time scaling transformation are introduced to the Gradient Ascent Pulse Engineering (GRAPE) algorithm. The modified scheme can improve the fidelity, reduce the optimal evolutionary time and errors caused by the nonlinear hardware as illustrated in the numerical simulation of homonuclear optimal control.
{"title":"Time Scaling Transformation in Quantum Optimal Control Computation","authors":"Bin Shi, Chao Xu, Rebing Wu","doi":"10.23919/CHICC.2018.8482909","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482909","url":null,"abstract":"The optimal control problem of the closed quantum systems can be equivalent to the parameters optimization problem of bilinear control systems. Numerical optimization techniques such as time scaling transformation are introduced to the Gradient Ascent Pulse Engineering (GRAPE) algorithm. The modified scheme can improve the fidelity, reduce the optimal evolutionary time and errors caused by the nonlinear hardware as illustrated in the numerical simulation of homonuclear optimal control.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120894565","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483696
Q. Hu, Yueyang Liu, Lei Guo
A saturated controller is developed for the final phase of rendezvous and proximity operations in the presence of disturbances, parametric uncertainties and loss of control effectiveness. To achieve this, an integrated auxiliary filter structure is first established using hyperbolic functions that work in tandem with filtered tracking error. Then a robust saturated controller for nominal system is proposed. Furthermore, saturated fault-tolerant controller based on the nominal control law and sliding-mode-like method is derived. The bound on the proposed controller can be adjusted by changing the feedback gains. A Lyapunov-based stability analysis is provided to prove uniformly ultimate bounded (UUB) tracking despite uncertainties, disturbances and even actuator faults in the six-degree-freedom dynamics. A numerical simulation is presented to demonstrate the performance of the controller.
{"title":"Saturated Control for Spacecraft Rendezvous and Proximity Operations Under Loss of Control Effectiveness","authors":"Q. Hu, Yueyang Liu, Lei Guo","doi":"10.23919/CHICC.2018.8483696","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483696","url":null,"abstract":"A saturated controller is developed for the final phase of rendezvous and proximity operations in the presence of disturbances, parametric uncertainties and loss of control effectiveness. To achieve this, an integrated auxiliary filter structure is first established using hyperbolic functions that work in tandem with filtered tracking error. Then a robust saturated controller for nominal system is proposed. Furthermore, saturated fault-tolerant controller based on the nominal control law and sliding-mode-like method is derived. The bound on the proposed controller can be adjusted by changing the feedback gains. A Lyapunov-based stability analysis is provided to prove uniformly ultimate bounded (UUB) tracking despite uncertainties, disturbances and even actuator faults in the six-degree-freedom dynamics. A numerical simulation is presented to demonstrate the performance of the controller.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121177756","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}