Pub Date : 2013-06-12DOI: 10.1109/ICCA.2013.6564915
Chunhui Zhao, Youxian Sun
In the present work, the multiplicity of process variable spaces is analyzed for modern industrial processes where a large number of process variables may be collected from different sources. Each process space is composed of different variables, revealing different underlying characteristics. The multi-space version of total projection to latent structures algorithm (MsT-PLS) is thus developed. By the proposed algorithm, the relationship across multiple process spaces is studied from the quality-concerned viewpoint. In this way, comprehensive information decomposition is obtained in each process space, where four systematic parts can be separated, revealing cross-space common and specific process variability. Process monitoring strategy is developed based on the MsT-PLS subspace decomposition result and illustrated on the Tennessee Eastman process in comparison with the other methods.
{"title":"The multi-space generalization of total projection to latent structures (MsT-PLS) and its application to online process monitoring","authors":"Chunhui Zhao, Youxian Sun","doi":"10.1109/ICCA.2013.6564915","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564915","url":null,"abstract":"In the present work, the multiplicity of process variable spaces is analyzed for modern industrial processes where a large number of process variables may be collected from different sources. Each process space is composed of different variables, revealing different underlying characteristics. The multi-space version of total projection to latent structures algorithm (MsT-PLS) is thus developed. By the proposed algorithm, the relationship across multiple process spaces is studied from the quality-concerned viewpoint. In this way, comprehensive information decomposition is obtained in each process space, where four systematic parts can be separated, revealing cross-space common and specific process variability. Process monitoring strategy is developed based on the MsT-PLS subspace decomposition result and illustrated on the Tennessee Eastman process in comparison with the other methods.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129940950","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6565195
Wuquan Li, Tao Li, Lihua Xie, Ji-feng Zhang
This paper is concerned with the leader-following consensus problem of second-order agents under fixed and directed topologies. The control input of each agent can only use its local state and the states of its neighbors corrupted by white noises. By using Hurwitz stability criteria, Ito formula and graph theory, some necessary and sufficient conditions are given for mean square bounded tracking. Furthermore, if the leader's acceleration has a limit when the time goes to infinity, we give an explicit expression of the tracking error in relation to the network and control parameters. Finally, the effectiveness of the distributed tracking controller is demonstrated by a simulation example.
{"title":"Distributed tracking of second-order multi-agent systems with measurement noise","authors":"Wuquan Li, Tao Li, Lihua Xie, Ji-feng Zhang","doi":"10.1109/ICCA.2013.6565195","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565195","url":null,"abstract":"This paper is concerned with the leader-following consensus problem of second-order agents under fixed and directed topologies. The control input of each agent can only use its local state and the states of its neighbors corrupted by white noises. By using Hurwitz stability criteria, Ito formula and graph theory, some necessary and sufficient conditions are given for mean square bounded tracking. Furthermore, if the leader's acceleration has a limit when the time goes to infinity, we give an explicit expression of the tracking error in relation to the network and control parameters. Finally, the effectiveness of the distributed tracking controller is demonstrated by a simulation example.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150865","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6564907
J. Acob, V. Pano, P. Ouyang
One of the most important tasks in robotic applications is trajectory tracking. For such applications it is inherently important that the system obtains a high tracking performance. A widespread control method for trajectory tracking is PD control, which is well-known for its ease of implementation and acceptable tracking performance. However, for tasks that require high precision some advanced methods may be considered that provides higher tracking performance. One such a control method is sliding mode control (SMC), which provides robustness and low tracking errors. In this paper, using the hybridization concept, a new control law is formulated which combined the ease of implementation that PD control provides and the high tracking performance of SMC, while avoiding the inherent drawback of both. The so-called hybrid PD-SMC law provides model-free nonlinear feedback control. The effectiveness of the proposed hybrid control method is investigated through various simulation experiments that provide a comparison in both tracking performance and robustness with stand PD and SMC methods.
{"title":"Hybrid PD sliding mode control of a two degree-of-freedom parallel robotic manipulator","authors":"J. Acob, V. Pano, P. Ouyang","doi":"10.1109/ICCA.2013.6564907","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564907","url":null,"abstract":"One of the most important tasks in robotic applications is trajectory tracking. For such applications it is inherently important that the system obtains a high tracking performance. A widespread control method for trajectory tracking is PD control, which is well-known for its ease of implementation and acceptable tracking performance. However, for tasks that require high precision some advanced methods may be considered that provides higher tracking performance. One such a control method is sliding mode control (SMC), which provides robustness and low tracking errors. In this paper, using the hybridization concept, a new control law is formulated which combined the ease of implementation that PD control provides and the high tracking performance of SMC, while avoiding the inherent drawback of both. The so-called hybrid PD-SMC law provides model-free nonlinear feedback control. The effectiveness of the proposed hybrid control method is investigated through various simulation experiments that provide a comparison in both tracking performance and robustness with stand PD and SMC methods.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904274","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6565204
K. Tang, M. Rauff, H. Tan, Y. Zhou
The human placenta and umbilical cord blood (UCB) provide a rich source of highly-proliferative haematopoietic stem cells (HSCs) for many clinical uses with advantages over traditional sources like the bone marrow and periphery blood. However, the current constraint with this source of HSCs is the inadequate number of HSCs cells which can be harvested in a single collection using current approaches which render a large number of collections unusable on their own, even for paediatric patients. The large reservoir of useful HSCs within the placenta has to be discarded upon the delivery of the placenta out of the maternal body. The user-centric approach is adopted in this project to tackle the social and technical issues related to the harvesting of HSCs. On the social portion, an in-depth ethnographic study is conducted over 3 months in the delivery wards to understand the concerns of the users. The results will be useful to promote the collection of HSCs in the cord blood banks. In addition, a novel device (i.e. amenable to be readily deployable in the delivery wards) that could improve the harvest of stem cells will also be developed, taking into consideration the needs of the various stakeholders. Initial proof-of-concept results have provided good motivation to proceed with the full scale development of the proposed device.
{"title":"Precession-based control methodology for haematopoietic stem cells harvesting","authors":"K. Tang, M. Rauff, H. Tan, Y. Zhou","doi":"10.1109/ICCA.2013.6565204","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565204","url":null,"abstract":"The human placenta and umbilical cord blood (UCB) provide a rich source of highly-proliferative haematopoietic stem cells (HSCs) for many clinical uses with advantages over traditional sources like the bone marrow and periphery blood. However, the current constraint with this source of HSCs is the inadequate number of HSCs cells which can be harvested in a single collection using current approaches which render a large number of collections unusable on their own, even for paediatric patients. The large reservoir of useful HSCs within the placenta has to be discarded upon the delivery of the placenta out of the maternal body. The user-centric approach is adopted in this project to tackle the social and technical issues related to the harvesting of HSCs. On the social portion, an in-depth ethnographic study is conducted over 3 months in the delivery wards to understand the concerns of the users. The results will be useful to promote the collection of HSCs in the cord blood banks. In addition, a novel device (i.e. amenable to be readily deployable in the delivery wards) that could improve the harvest of stem cells will also be developed, taking into consideration the needs of the various stakeholders. Initial proof-of-concept results have provided good motivation to proceed with the full scale development of the proposed device.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"60 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087660","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6565051
Fan Yang, Tao Liang, Wen Song, Qiqiang Li
This paper presents a supervised self-organizing approach for solving the scheduling problems of large-scale multistage batch plants. The proposed approach is based on a supervised self-organizing model, which consists of a self-organizing scheduling system and a supervisory unit. Four types of self-organizing units are defined in the self-organizing scheduling system and they can be guided by the supervisory unit in a global perspective. A supervised self-organizing algorithm, in which minimum makespan is selected as the scheduling objective, is also proposed to solve the supervised self-organizing model. An illustrative example has been efficiently solved. Compared with MILP approach, the proposed approach shows its superiority in solving large-scale complex problems.
{"title":"A supervised self-organizing approach for large-scale multistage batch scheduling problems","authors":"Fan Yang, Tao Liang, Wen Song, Qiqiang Li","doi":"10.1109/ICCA.2013.6565051","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565051","url":null,"abstract":"This paper presents a supervised self-organizing approach for solving the scheduling problems of large-scale multistage batch plants. The proposed approach is based on a supervised self-organizing model, which consists of a self-organizing scheduling system and a supervisory unit. Four types of self-organizing units are defined in the self-organizing scheduling system and they can be guided by the supervisory unit in a global perspective. A supervised self-organizing algorithm, in which minimum makespan is selected as the scheduling objective, is also proposed to solve the supervised self-organizing model. An illustrative example has been efficiently solved. Compared with MILP approach, the proposed approach shows its superiority in solving large-scale complex problems.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114525933","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6564870
Weiwei Cui, Zhi-qiang Lu
This paper addresses the problem of finding robust production and maintenance schedules for a single machine with failure uncertainty. Since both the production and maintenance activities have impacts on the machine's capacity and reliability, a joint model for integrating the production plan and maintenance policy to optimize the bi-objective of quality and solution robustness simultaneously is proposed. Then a simulation-based stochastic Genetic Algorithm is developed as a proactive scheduling approach to search for robust solutions. Computational results indicate that the solution performance can be significantly improved with our algorithm compared with the traditional way. And the balance of quality robustness and solution robustness is explored in detail.
{"title":"Simultaneously scheduling production plan and maintenance policy for a single machine with failure uncertainty","authors":"Weiwei Cui, Zhi-qiang Lu","doi":"10.1109/ICCA.2013.6564870","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564870","url":null,"abstract":"This paper addresses the problem of finding robust production and maintenance schedules for a single machine with failure uncertainty. Since both the production and maintenance activities have impacts on the machine's capacity and reliability, a joint model for integrating the production plan and maintenance policy to optimize the bi-objective of quality and solution robustness simultaneously is proposed. Then a simulation-based stochastic Genetic Algorithm is developed as a proactive scheduling approach to search for robust solutions. Computational results indicate that the solution performance can be significantly improved with our algorithm compared with the traditional way. And the balance of quality robustness and solution robustness is explored in detail.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"105 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114004970","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6564895
Shixi Hou, J. Fei
In this paper, an adaptive fuzzy-sliding control system is proposed to improve dynamic performance of three-phase active power filter (APF). The adaptive fuzzy systems are employed to approximate both the equivalent control term and the switching control term in the sliding mode controller. An on-line adaptive tuning algorithm for the consequent parameters in the fuzzy rules is also designed. The switching control becomes continuous and the chattering phenomena can be attenuated. Simulation demonstrated that the proposed control method has an excellent dynamic performance such as small current tracking error , reduced total harmonic distortion (THD), strong robustness in the presence of parameters variation and nonlinear load.
{"title":"Adaptive fuzzy sliding control with fuzzy sliding term for three-phase active power filter","authors":"Shixi Hou, J. Fei","doi":"10.1109/ICCA.2013.6564895","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564895","url":null,"abstract":"In this paper, an adaptive fuzzy-sliding control system is proposed to improve dynamic performance of three-phase active power filter (APF). The adaptive fuzzy systems are employed to approximate both the equivalent control term and the switching control term in the sliding mode controller. An on-line adaptive tuning algorithm for the consequent parameters in the fuzzy rules is also designed. The switching control becomes continuous and the chattering phenomena can be attenuated. Simulation demonstrated that the proposed control method has an excellent dynamic performance such as small current tracking error , reduced total harmonic distortion (THD), strong robustness in the presence of parameters variation and nonlinear load.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114725975","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6565121
Zhi Feng, G. Hu
This paper studies a robust distributed consensus tracking problem for a class of multiple unknown nonlinear Euler-Lagrange systems where only a subset of the agents has access to the desired trajectory. A nonlinear identifier is first developed for each agent to estimate the unknown nonlinear dynamics and disturbances. Based on the identifier, a continuous distributed consensus tracking algorithm is developed to enable robust consensus tracking under an undirected graph. The closed-loop stability is proven by graph theory and Lyapunov analysis. By selecting the identifier and controller parameters according to the derived sufficient conditions, robust asymptotic consensus tracking can be enabled through local information exchange. An example is provided to illustrate the effectiveness of the proposed method.
{"title":"Distributed coordinated tracking control for multiple unknown nonlinear Euler-Lagrange systems","authors":"Zhi Feng, G. Hu","doi":"10.1109/ICCA.2013.6565121","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565121","url":null,"abstract":"This paper studies a robust distributed consensus tracking problem for a class of multiple unknown nonlinear Euler-Lagrange systems where only a subset of the agents has access to the desired trajectory. A nonlinear identifier is first developed for each agent to estimate the unknown nonlinear dynamics and disturbances. Based on the identifier, a continuous distributed consensus tracking algorithm is developed to enable robust consensus tracking under an undirected graph. The closed-loop stability is proven by graph theory and Lyapunov analysis. By selecting the identifier and controller parameters according to the derived sufficient conditions, robust asymptotic consensus tracking can be enabled through local information exchange. An example is provided to illustrate the effectiveness of the proposed method.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124451687","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6564941
M. Nassef, C. Schenck, B. Kuhfuss
This paper presents an approach using kinematic redundant actuators for the enhancement of machining performance in terms of productivity and accuracy. Unfortunately, induced vibrations in the structure due to jerk impose limitations on the acceleration and deceleration profiles. With the aid of kinematic redundancy, an inverse modeling algorithm is developed and exploited in this investigation as a method to compensate the unwanted vibrations in an assembly with two collinearly arranged axes. A compact model of the system is designed to study the effectiveness of the proposed method. Verification of the obtained results is done on an experimental test bench.
{"title":"Compensation of induced vibrations by commanded counter motions in kinematic redundant feed drive systems","authors":"M. Nassef, C. Schenck, B. Kuhfuss","doi":"10.1109/ICCA.2013.6564941","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564941","url":null,"abstract":"This paper presents an approach using kinematic redundant actuators for the enhancement of machining performance in terms of productivity and accuracy. Unfortunately, induced vibrations in the structure due to jerk impose limitations on the acceleration and deceleration profiles. With the aid of kinematic redundancy, an inverse modeling algorithm is developed and exploited in this investigation as a method to compensate the unwanted vibrations in an assembly with two collinearly arranged axes. A compact model of the system is designed to study the effectiveness of the proposed method. Verification of the obtained results is done on an experimental test bench.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569342","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 : 2013-06-12DOI: 10.1109/ICCA.2013.6564951
Enis Bayramoglu, Ole Ravn, N. Andersen
The paper presents a multi-hypothesis filter library featuring a novel method for splitting Gaussians into ones with smaller variances. The library is written in C++ for high performance and the source code is open and free1. The multi-hypothesis filters commonly approximate the distribution transformations better, if the covariances of the individual hypotheses are sufficiently small. We propose a look-up table based method to calculate a set of Gaussian hypotheses approximating a wider Gaussian in order to improve the filter approximation. Python bindings for the library are also provided for fast prototyping.
{"title":"A novel hypothesis splitting method implementation for multi-hypothesis filters","authors":"Enis Bayramoglu, Ole Ravn, N. Andersen","doi":"10.1109/ICCA.2013.6564951","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564951","url":null,"abstract":"The paper presents a multi-hypothesis filter library featuring a novel method for splitting Gaussians into ones with smaller variances. The library is written in C++ for high performance and the source code is open and free1. The multi-hypothesis filters commonly approximate the distribution transformations better, if the covariances of the individual hypotheses are sufficiently small. We propose a look-up table based method to calculate a set of Gaussian hypotheses approximating a wider Gaussian in order to improve the filter approximation. Python bindings for the library are also provided for fast prototyping.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846314","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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