Pub Date : 2013-08-01DOI: 10.1109/ICINFA.2013.6720326
Dewen Zeng, Y. Hu, Qing He, Bin Leng, Haibin Wang, Hehui Zou, Wenkai Wu
In this study, a novel artificial biofeedback system based on the transcutaneous electrical nerve stimulation and pattern recognition of surface electromyography(sEMG) signals is designed for the rehabilitation treatment. This system is composed of hardware circuit of sEMG acquisition, surface Agcl electrodes, electrical nerve stimulator and relevant software. The main purpose of the system is to cure the nerve and muscle disease by biofeedback intelligent technology instead of physicians, that is, by means of feature extraction and classification of sEMG, the system can identify three different state (sensory, motorial, painful) and the fatigue state of the muscle, then according to above discrimination results to control the output of the stimulator automatically. In this paper, Firstly, a surface electromyographic signal acquisition circuit and signal processing interface based MFC are developed and designed. Secondly, the AR(Auto-Regressive)and WT(wavelet transform) are adopted for signal feature extraction, then extracted feature vectors are feed to the SVM(support vector machine) classifier. Finally, according to the discrimination results to regulate the output of the stimulator. Experiments verify the effectiveness of the system.
{"title":"Study of intelligent bio-feedback therapy system based on transcutaneous electrical nerve stimulation and surface EMG signals","authors":"Dewen Zeng, Y. Hu, Qing He, Bin Leng, Haibin Wang, Hehui Zou, Wenkai Wu","doi":"10.1109/ICINFA.2013.6720326","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720326","url":null,"abstract":"In this study, a novel artificial biofeedback system based on the transcutaneous electrical nerve stimulation and pattern recognition of surface electromyography(sEMG) signals is designed for the rehabilitation treatment. This system is composed of hardware circuit of sEMG acquisition, surface Agcl electrodes, electrical nerve stimulator and relevant software. The main purpose of the system is to cure the nerve and muscle disease by biofeedback intelligent technology instead of physicians, that is, by means of feature extraction and classification of sEMG, the system can identify three different state (sensory, motorial, painful) and the fatigue state of the muscle, then according to above discrimination results to control the output of the stimulator automatically. In this paper, Firstly, a surface electromyographic signal acquisition circuit and signal processing interface based MFC are developed and designed. Secondly, the AR(Auto-Regressive)and WT(wavelet transform) are adopted for signal feature extraction, then extracted feature vectors are feed to the SVM(support vector machine) classifier. Finally, according to the discrimination results to regulate the output of the stimulator. Experiments verify the effectiveness of the system.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130562916","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720446
Zhenghua Wu, Qiang Wang, Yi Shen, Jie Liu
Compressive Sensing (CS) shows that sparse signals can be exactly recovered from a limited number of random or deterministic projections when the measurement mode satisfies some specified conditions. Random matrices, with the drawbacks of large storage, low efficiency and high complexity, are hard to use in practical applications. Recent works explore expander graphs for efficient CS recovery, but there is no explicit construction of expanders. The widely used expanders are chosen at random based on the probabilistic method. In this paper, we propose a parameter based on the second-largest eigenvalue of the adjacency matrix to select optimized expanders from random expanders. The theoretical analysis and the numerical simulations both indicate the selection criteria proposed in this paper can pick up the high-performance expanders from the random expanders effectively.
{"title":"Optimized selection of random expander graphs for Compressive Sensing","authors":"Zhenghua Wu, Qiang Wang, Yi Shen, Jie Liu","doi":"10.1109/ICINFA.2013.6720446","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720446","url":null,"abstract":"Compressive Sensing (CS) shows that sparse signals can be exactly recovered from a limited number of random or deterministic projections when the measurement mode satisfies some specified conditions. Random matrices, with the drawbacks of large storage, low efficiency and high complexity, are hard to use in practical applications. Recent works explore expander graphs for efficient CS recovery, but there is no explicit construction of expanders. The widely used expanders are chosen at random based on the probabilistic method. In this paper, we propose a parameter based on the second-largest eigenvalue of the adjacency matrix to select optimized expanders from random expanders. The theoretical analysis and the numerical simulations both indicate the selection criteria proposed in this paper can pick up the high-performance expanders from the random expanders effectively.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"35 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434146","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720474
Ke Wang, Rong Liu, Yuan Qu
How to develop practical robots with high artificial intelligence to replace the traditional manual method of on-site inspection of glass-curtain-walls needs to be solved urgently. Therefore, a double-cavity climbing robot that can automatically conduct safety inspection of glass-curtain-wall is researched and presented in this paper. The robot includes adsorption module based on the principle of negative pressure adsorption, servo-drive system to control traveling distance, vibration testing device and safety device. The mechanical structure and its optimization are described in detail, which is followed by a presentation of the robot control system. Finally the wall-climbing and vibration testing experiments are conducted on glass-curtain-wall, and effectiveness of the design is approved.
{"title":"Development of a double-cavity climbing robot for on-site inspection of glass-curtain-walls","authors":"Ke Wang, Rong Liu, Yuan Qu","doi":"10.1109/ICINFA.2013.6720474","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720474","url":null,"abstract":"How to develop practical robots with high artificial intelligence to replace the traditional manual method of on-site inspection of glass-curtain-walls needs to be solved urgently. Therefore, a double-cavity climbing robot that can automatically conduct safety inspection of glass-curtain-wall is researched and presented in this paper. The robot includes adsorption module based on the principle of negative pressure adsorption, servo-drive system to control traveling distance, vibration testing device and safety device. The mechanical structure and its optimization are described in detail, which is followed by a presentation of the robot control system. Finally the wall-climbing and vibration testing experiments are conducted on glass-curtain-wall, and effectiveness of the design is approved.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"509 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132274125","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720313
Xiaofeng Shen, Zheng Liu, Peng Liu, Jiyan Huang, Y. Pan
One of the main problems facing beamforming in array system is impulse noise. Although traditional Minimum Variance Distortionless Response (MVDR) beamformer [1] based on classical techniques under minimizing a least-squares objective function has the optimum capabilities of signal protection, interference removal and noise reduction in Gaussian noise environment, it loses optimality when the noise such as impulse noise deviates from Gaussian distribution. In this paper, an effective beamforming algorithm based on a robust objective function is proposed to mitigate impulse noise. The proposed method does not require the prior knowledge of impulse noise distribution and can give a closed-form solution. A comparison is performed between the proposed algorithm and MVDR. The proposed algorithm clearly outperforms MVDR.
{"title":"Robust adaptive beamforming for impulse noise environments","authors":"Xiaofeng Shen, Zheng Liu, Peng Liu, Jiyan Huang, Y. Pan","doi":"10.1109/ICINFA.2013.6720313","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720313","url":null,"abstract":"One of the main problems facing beamforming in array system is impulse noise. Although traditional Minimum Variance Distortionless Response (MVDR) beamformer [1] based on classical techniques under minimizing a least-squares objective function has the optimum capabilities of signal protection, interference removal and noise reduction in Gaussian noise environment, it loses optimality when the noise such as impulse noise deviates from Gaussian distribution. In this paper, an effective beamforming algorithm based on a robust objective function is proposed to mitigate impulse noise. The proposed method does not require the prior knowledge of impulse noise distribution and can give a closed-form solution. A comparison is performed between the proposed algorithm and MVDR. The proposed algorithm clearly outperforms MVDR.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130410043","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720363
Qian Yang, Z. Kang, Minghui Zhang, N. Zhao
On the basis of deep study on space vector PWM (SVPWM) technology, the simulation of permanent magnet synchronous motor (PMSM) closed-loop control system based on SVPWM technology is achieved by Simulink in this paper. The simulation results show that the PMSM control system has lower torque ripples, better speed tracking and strong robust to the load interferences, which is more suitable for high-performance PMSM variable speed control system. Finally, the hardware in loop (HIL) experiments of PMSM speed and current dual closed-loop control system based on SVPWM technology is completed by dSPACE experiment platform to further verify the effectiveness of the analysis results.
{"title":"Study on space vector PWM technology of PMSM control system based on dSPACE","authors":"Qian Yang, Z. Kang, Minghui Zhang, N. Zhao","doi":"10.1109/ICINFA.2013.6720363","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720363","url":null,"abstract":"On the basis of deep study on space vector PWM (SVPWM) technology, the simulation of permanent magnet synchronous motor (PMSM) closed-loop control system based on SVPWM technology is achieved by Simulink in this paper. The simulation results show that the PMSM control system has lower torque ripples, better speed tracking and strong robust to the load interferences, which is more suitable for high-performance PMSM variable speed control system. Finally, the hardware in loop (HIL) experiments of PMSM speed and current dual closed-loop control system based on SVPWM technology is completed by dSPACE experiment platform to further verify the effectiveness of the analysis results.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128801560","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720357
G. Dai, Yong Wang
Based on the works of ActorGames which introduce game semantics into actors, we remove the assumption of an immediate acknowledgement to a received message for an actor in ActorGames. This makes ActorGames play without alternation and a new kind of game semantics called Non-Alternating ActorGames are introduced. Through an example of classical cluster computing called CCC and implemented by actors, we analyze the concurrent messages among actors and introduce the Non-Alternating ActorGame strategy, composition of Non-Alternating ActorGames, the Non-Alternating ActorGame category and relation to concurrent games. Both the Non-Alternating ActorGame strategy, composition of Non-Alternating ActorGames, the Non-Alternating ActorGame category and relation to concurrent games have good properties.
{"title":"Non-Alternating ActorGame: Game semantics for actors without alternation","authors":"G. Dai, Yong Wang","doi":"10.1109/ICINFA.2013.6720357","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720357","url":null,"abstract":"Based on the works of ActorGames which introduce game semantics into actors, we remove the assumption of an immediate acknowledgement to a received message for an actor in ActorGames. This makes ActorGames play without alternation and a new kind of game semantics called Non-Alternating ActorGames are introduced. Through an example of classical cluster computing called CCC and implemented by actors, we analyze the concurrent messages among actors and introduce the Non-Alternating ActorGame strategy, composition of Non-Alternating ActorGames, the Non-Alternating ActorGame category and relation to concurrent games. Both the Non-Alternating ActorGame strategy, composition of Non-Alternating ActorGames, the Non-Alternating ActorGame category and relation to concurrent games have good properties.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343408","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720283
Lixia Deng, Xin Ma, J. Gu, Yibin Li
The most challenge of dynamic path planning lies in that the high unpredictability of environmental information. With the strong space search ability and learning ability, artificial immune network (AIN) has been used for path planning. Polyclonal artificial immune network (PCAIN) solves the problems of immature convergence and local minima with the increasing diversity of antibodies. In this paper, we propose improved polyclonal artificial immune network (IPCAIN) for multi-robot path planning with moving obstacles and moving goals in unknown environment. The antibody concentration is computed with taking other robots and moving obstacles into account. Moreover, memory units are used for preserving antibodies in the specific situations. The memory ability increases the initial concentration of specific antibodies, thus, reduces the response time for dynamic path planning. Extensive simulation experiments validate the proposed method can search the optimal path for multiple robots in dynamic unknown environment.
{"title":"Improved poly-clonal artificial immune network for multi-robot dynamic path planning","authors":"Lixia Deng, Xin Ma, J. Gu, Yibin Li","doi":"10.1109/ICINFA.2013.6720283","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720283","url":null,"abstract":"The most challenge of dynamic path planning lies in that the high unpredictability of environmental information. With the strong space search ability and learning ability, artificial immune network (AIN) has been used for path planning. Polyclonal artificial immune network (PCAIN) solves the problems of immature convergence and local minima with the increasing diversity of antibodies. In this paper, we propose improved polyclonal artificial immune network (IPCAIN) for multi-robot path planning with moving obstacles and moving goals in unknown environment. The antibody concentration is computed with taking other robots and moving obstacles into account. Moreover, memory units are used for preserving antibodies in the specific situations. The memory ability increases the initial concentration of specific antibodies, thus, reduces the response time for dynamic path planning. Extensive simulation experiments validate the proposed method can search the optimal path for multiple robots in dynamic unknown environment.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126054645","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720407
Baoxian Zhang, Jun Liu, Haoyao Chen
This paper proposes an efficient adaptive Monte Carlo Localization (AMCL) based approach to align the occupancy grid maps built by a multi-robot system. Map alignment plays an important role for the map fusion of multi-robot simultaneous localization and mapping (SLAM), especially for the SLAM with heterogenous sensors. Two robots equipped with a laser and Kinect respectively are executing FastSLAM 2.0 in the same environment but at different starting point; the motion and measurement information is recorded with time-stamps. To merge the maps built by different robots, one robot is first relocated in the map built by the other robot by using the recorded motion sequences and measurement information. With the relocation result, the transformation matrix between the two different maps is the calculated; the matrix is further used as the initial relative pose information for ICP process to obtain precise alignment result. Experiments are finally performed to demonstrate the effectiveness of the proposed approach. Index Terms - AMCL; map fusion; multi-robot SLAM; heterogenous sensors.
{"title":"AMCL based map fusion for multi-robot SLAM with heterogenous sensors","authors":"Baoxian Zhang, Jun Liu, Haoyao Chen","doi":"10.1109/ICINFA.2013.6720407","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720407","url":null,"abstract":"This paper proposes an efficient adaptive Monte Carlo Localization (AMCL) based approach to align the occupancy grid maps built by a multi-robot system. Map alignment plays an important role for the map fusion of multi-robot simultaneous localization and mapping (SLAM), especially for the SLAM with heterogenous sensors. Two robots equipped with a laser and Kinect respectively are executing FastSLAM 2.0 in the same environment but at different starting point; the motion and measurement information is recorded with time-stamps. To merge the maps built by different robots, one robot is first relocated in the map built by the other robot by using the recorded motion sequences and measurement information. With the relocation result, the transformation matrix between the two different maps is the calculated; the matrix is further used as the initial relative pose information for ICP process to obtain precise alignment result. Experiments are finally performed to demonstrate the effectiveness of the proposed approach. Index Terms - AMCL; map fusion; multi-robot SLAM; heterogenous sensors.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619765","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720456
Hong-Min Zhu, Chi-Man Pun
We propose a human action recognition solution from the human's skeletal information. The angular representation of the skeleton shows its invariance to the scale of the actor and the orientation to the camera, while it maintains the correlation among different body parts. A modified Dynamic Time Warping (DTW) as a template matching solution is applied to do the action classification task. We collect our data with XBOX Kinect platform, a well-known Chinese traditional shadow boxing named Taiji is recognized based on types of actions which achieves the accuracy of 80%.
{"title":"Human action recognition with skeletal information from depth camera","authors":"Hong-Min Zhu, Chi-Man Pun","doi":"10.1109/ICINFA.2013.6720456","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720456","url":null,"abstract":"We propose a human action recognition solution from the human's skeletal information. The angular representation of the skeleton shows its invariance to the scale of the actor and the orientation to the camera, while it maintains the correlation among different body parts. A modified Dynamic Time Warping (DTW) as a template matching solution is applied to do the action classification task. We collect our data with XBOX Kinect platform, a well-known Chinese traditional shadow boxing named Taiji is recognized based on types of actions which achieves the accuracy of 80%.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121720350","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}
This paper presents a macro-micro dual stage using hybrid actuators composed of voice coil motor (VCM) and piezoelectric actuator (PZT). Connecting coarse (driven by voice coil motor) and fine (actuated by the piezoelectric), in series, to achieve a large travel range and high precision positioning. In the structure of redundant actuation, the micro stage is applied to compensate the error generated by the macro stage. The compensating method of point-to-point (PTP) positioning is divided into two types: compensation before steady state (macro/micro single input dual output) and compensation before steady state (macro/micro dual input dual output). A corresponding driving process is described in each type. In the driving process, the interference behavior between macro stage and micro stage is considered and the dynamic coupling model established. In the process of control analysis, because of the saturation of micro stage, switching control plays an important role in realizing precision positioning. Mode switching control is achieved by using switching function according to the two types of positioning way. Finally, step response shows that the positioning accuracy of dual stage is higher than single macro stage, and also can realize nano-positioning.
{"title":"Driving process and control analysis in macro-micro dual stage","authors":"Jiwen Fang, Zhili Long, Lufan Zhang, Longsheng Nian","doi":"10.1109/ICINFA.2013.6720266","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720266","url":null,"abstract":"This paper presents a macro-micro dual stage using hybrid actuators composed of voice coil motor (VCM) and piezoelectric actuator (PZT). Connecting coarse (driven by voice coil motor) and fine (actuated by the piezoelectric), in series, to achieve a large travel range and high precision positioning. In the structure of redundant actuation, the micro stage is applied to compensate the error generated by the macro stage. The compensating method of point-to-point (PTP) positioning is divided into two types: compensation before steady state (macro/micro single input dual output) and compensation before steady state (macro/micro dual input dual output). A corresponding driving process is described in each type. In the driving process, the interference behavior between macro stage and micro stage is considered and the dynamic coupling model established. In the process of control analysis, because of the saturation of micro stage, switching control plays an important role in realizing precision positioning. Mode switching control is achieved by using switching function according to the two types of positioning way. Finally, step response shows that the positioning accuracy of dual stage is higher than single macro stage, and also can realize nano-positioning.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287907","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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