Pub Date : 2013-06-12DOI: 10.1109/ICCA.2013.6565035
Haolin Feng, X. Chen, Zhijiang Shao
Process model with high fidelity plays an extremely important role in the design and operation for chemical plant. Yet the growing complexity along with fidelity increases the computational time, causing decision delay in RTO (real-time optimization). This study demonstrates a systematical method of model reduction in the application of RTO. The reduced model could get the optimization results much faster without breaking the model structure and keep the model accuracy under an acceptable error tolerance. In this method, a chemical model is first classified as layers according to its structure and the inner layer which is kinetics and thermodynamics layer is mainly chosen for reduction since it takes the most CPU time during simulation and optimization. In the reduction of kinetics, the DRG method is used, and in the reduction of thermodynamics, a Kriging method is used to map the input and output. A numerical case study on an industrial P-Xylene oxidation process problem is applied to validate the method.
{"title":"Structure based model reduction in real-time optimization","authors":"Haolin Feng, X. Chen, Zhijiang Shao","doi":"10.1109/ICCA.2013.6565035","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565035","url":null,"abstract":"Process model with high fidelity plays an extremely important role in the design and operation for chemical plant. Yet the growing complexity along with fidelity increases the computational time, causing decision delay in RTO (real-time optimization). This study demonstrates a systematical method of model reduction in the application of RTO. The reduced model could get the optimization results much faster without breaking the model structure and keep the model accuracy under an acceptable error tolerance. In this method, a chemical model is first classified as layers according to its structure and the inner layer which is kinetics and thermodynamics layer is mainly chosen for reduction since it takes the most CPU time during simulation and optimization. In the reduction of kinetics, the DRG method is used, and in the reduction of thermodynamics, a Kriging method is used to map the input and output. A numerical case study on an industrial P-Xylene oxidation process problem is applied to validate the method.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"45 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":"134498450","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.2013.6565082
Shunxiang Wu, Lixiao Zhang, Wenlong Xu, Ting Zhou, D. Luo
Unmanned Aerial Vehicle (UAV) has many advantages, such as miniature,light weight, low cost, excellent and maneuverability and so on, which make it get more and more attention from the military of many countries. A critical limitation for the current use of UAV is their limited range. This paper describes the results of an effort on the modeling of the UAV aerial refueling problem and on how to realize the docking procedure accurately without considering wake effects and natural oscillation of the probe-drogue refueling system. Desirable performances are achieved by the LQR-based control laws for the docking of the UAV to the probe-drogue refueling system. By using the simulation platform of Matlab/Simulink, the simulation results of the tracks of probe and drogue in the docking phrase of aerial refueling are verified. This simulations reveal that the design of the full state feedback controller can realize docking between the tanker and the unmanned aerial vehicle fast and smoothly.
{"title":"Docking control of autonomous aerial refueling for UAV based on LQR","authors":"Shunxiang Wu, Lixiao Zhang, Wenlong Xu, Ting Zhou, D. Luo","doi":"10.1109/ICCA.2013.6565082","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565082","url":null,"abstract":"Unmanned Aerial Vehicle (UAV) has many advantages, such as miniature,light weight, low cost, excellent and maneuverability and so on, which make it get more and more attention from the military of many countries. A critical limitation for the current use of UAV is their limited range. This paper describes the results of an effort on the modeling of the UAV aerial refueling problem and on how to realize the docking procedure accurately without considering wake effects and natural oscillation of the probe-drogue refueling system. Desirable performances are achieved by the LQR-based control laws for the docking of the UAV to the probe-drogue refueling system. By using the simulation platform of Matlab/Simulink, the simulation results of the tracks of probe and drogue in the docking phrase of aerial refueling are verified. This simulations reveal that the design of the full state feedback controller can realize docking between the tanker and the unmanned aerial vehicle fast and smoothly.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"128 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":"134549096","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.2013.6564900
M. Er, Zhifei Shao, Ning Wang
Extreme Learning Machine (ELM) has attracted many researchers as a universal function approximator because of its extremely fast learning speed and good generalization performance. Recently, a new trend in ELM emerges to combine it with ridge regression, which has been shown improved stability and generalization performance. However, this ridge parameter is determined through a trial-and-error manner, an unsatisfactory approach for automatic learning applications. In this paper, the differences between ridge ELM and ordinary Neural Networks are discussed as well as special properties of ridge ELM and various approaches to derive the ridge parameter. Furthermore, a semi-cross-validation ridge parameter selection procedure based on the special properties of ridge ELM is proposed. This approach, termed as Semi-Cross-validation Ridge ELM (SC-R-ELM), is also demonstrated to achieve robust and reliable results in 11 regression data sets.
{"title":"A systematic method to guide the choice of ridge parameter in ridge extreme learning machine","authors":"M. Er, Zhifei Shao, Ning Wang","doi":"10.1109/ICCA.2013.6564900","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564900","url":null,"abstract":"Extreme Learning Machine (ELM) has attracted many researchers as a universal function approximator because of its extremely fast learning speed and good generalization performance. Recently, a new trend in ELM emerges to combine it with ridge regression, which has been shown improved stability and generalization performance. However, this ridge parameter is determined through a trial-and-error manner, an unsatisfactory approach for automatic learning applications. In this paper, the differences between ridge ELM and ordinary Neural Networks are discussed as well as special properties of ridge ELM and various approaches to derive the ridge parameter. Furthermore, a semi-cross-validation ridge parameter selection procedure based on the special properties of ridge ELM is proposed. This approach, termed as Semi-Cross-validation Ridge ELM (SC-R-ELM), is also demonstrated to achieve robust and reliable results in 11 regression data sets.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"18 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":"124237621","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.2013.6564869
Jun Cheng, Yong Zeng, Hong Zhu, S. Zhong, Yuping Zhang
This paper is concerned with the H∞ filter design problem for a class of switched discrete-time system with average dwell time under asynchronous switching. Since the unmatched filters are allowed to perform in the interval of asynchronous switching before the matched ones, the issue of asynchronous switching between system modes and filters are investigated based on the average dwell time approach and multiple Lyapunov-like function method, and the sufficient conditions are presented for the filtering error system to be exponentially stable with a prescribed H∞ performance. At last, an example is given to illustrate the effectiveness of the proposed method.
{"title":"H∞ filtering of discrete-time switched systems with average dwell time under asynchronous switching","authors":"Jun Cheng, Yong Zeng, Hong Zhu, S. Zhong, Yuping Zhang","doi":"10.1109/ICCA.2013.6564869","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564869","url":null,"abstract":"This paper is concerned with the H∞ filter design problem for a class of switched discrete-time system with average dwell time under asynchronous switching. Since the unmatched filters are allowed to perform in the interval of asynchronous switching before the matched ones, the issue of asynchronous switching between system modes and filters are investigated based on the average dwell time approach and multiple Lyapunov-like function method, and the sufficient conditions are presented for the filtering error system to be exponentially stable with a prescribed H∞ performance. At last, an example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"22 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":"131557963","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.2013.6565019
Yong-ming Li, K. Gu, Shengyuan Xu
The discretized Lyapunov-Krasovskii functional (DLF) method is asymptotically accurate in stability analysis for time-delay systems. In general, a system may have multiple stable delay intervals, and DLF is especially effective to study such systems. In this article, a DLF-based method is proposed to accurately estimate the maximum stable delay interval without using bisection, when one point in this interval is given. The formulation uses generalized eigenvalue problem (GEVP) of linear matrix inequalities (LMIs), and iterations may be used to reach the analytical limits either in finite number of steps or asymptotically. The coupled differential-difference equations are used to illustrate the method. However, the idea can be easily adapted to traditional differential-difference equation setting.
{"title":"Estimating stable delay interval using discretized Lyapunov-Krasovskii functional method","authors":"Yong-ming Li, K. Gu, Shengyuan Xu","doi":"10.1109/ICCA.2013.6565019","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565019","url":null,"abstract":"The discretized Lyapunov-Krasovskii functional (DLF) method is asymptotically accurate in stability analysis for time-delay systems. In general, a system may have multiple stable delay intervals, and DLF is especially effective to study such systems. In this article, a DLF-based method is proposed to accurately estimate the maximum stable delay interval without using bisection, when one point in this interval is given. The formulation uses generalized eigenvalue problem (GEVP) of linear matrix inequalities (LMIs), and iterations may be used to reach the analytical limits either in finite number of steps or asymptotically. The coupled differential-difference equations are used to illustrate the method. However, the idea can be easily adapted to traditional differential-difference equation setting.","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":"132358167","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.2013.6565171
K. Yogaprakash, Wee-Seng Soh
Over the last several years, there has been rapid growth in the adoption of Wireless Local Area Networks (WLAN) technology. While WLAN technology is primarily used for internet/intranet communication, the existing hardware infrastructure of WLAN can also be used to support localization systems. This paper discusses the development of a low-cost localisation system for use in Singapore's hospitals, most of which are covered by a nation-wide wireless broadband programme. Such a system can be used to track children or critical equipment in the hospitals. This system involves the use of received signal strength indicator values (RSSI) of unique beacons to derive the position of a low-cost mobile node that is capable of scanning for these beacons' RSSI values. This paper discusses the implementation details of the system and the accuracy of 2 indoor positioning algorithms from tests conducted in a lab area of 165m2.
{"title":"Indoor location tracking using low-cost modules","authors":"K. Yogaprakash, Wee-Seng Soh","doi":"10.1109/ICCA.2013.6565171","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565171","url":null,"abstract":"Over the last several years, there has been rapid growth in the adoption of Wireless Local Area Networks (WLAN) technology. While WLAN technology is primarily used for internet/intranet communication, the existing hardware infrastructure of WLAN can also be used to support localization systems. This paper discusses the development of a low-cost localisation system for use in Singapore's hospitals, most of which are covered by a nation-wide wireless broadband programme. Such a system can be used to track children or critical equipment in the hospitals. This system involves the use of received signal strength indicator values (RSSI) of unique beacons to derive the position of a low-cost mobile node that is capable of scanning for these beacons' RSSI values. This paper discusses the implementation details of the system and the accuracy of 2 indoor positioning algorithms from tests conducted in a lab area of 165m2.","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":"122220018","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.2013.6564893
D. Sui, Roar Nybø, V. Azizi
The increase of drilling safety and the reduction of drilling operation costs, especially the improvement of drilling efficiency, are two important considerations. In general the rate of penetration (ROP) optimization means that the drilling parameters such as weight on bit (WOB) and rotary speed (RPM) are adjusted to drill the present formation most efficiently. In this paper, the Bourgoyne and Young ROP model had been selected to study the effects of several parameters during drilling operation. We present an advanced method for the ROP calculation and its optimization. A moving-horizon multiple regression method is proposed, which reduces the estimation error of the existing ROP models by continuously calibrating the model coefficients based on real-time data. Furthermore, a model predictive control (MPC) strategy is applied to achieve the ROP optimization to satisfy drilling requirements. The performance of the methodology is demonstrated by using realworld data from a North Sea well.
{"title":"Real-time optimization of rate of penetration during drilling operation","authors":"D. Sui, Roar Nybø, V. Azizi","doi":"10.1109/ICCA.2013.6564893","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564893","url":null,"abstract":"The increase of drilling safety and the reduction of drilling operation costs, especially the improvement of drilling efficiency, are two important considerations. In general the rate of penetration (ROP) optimization means that the drilling parameters such as weight on bit (WOB) and rotary speed (RPM) are adjusted to drill the present formation most efficiently. In this paper, the Bourgoyne and Young ROP model had been selected to study the effects of several parameters during drilling operation. We present an advanced method for the ROP calculation and its optimization. A moving-horizon multiple regression method is proposed, which reduces the estimation error of the existing ROP models by continuously calibrating the model coefficients based on real-time data. Furthermore, a model predictive control (MPC) strategy is applied to achieve the ROP optimization to satisfy drilling requirements. The performance of the methodology is demonstrated by using realworld data from a North Sea well.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"46 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":"117226805","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.2013.6564957
Guo-Wei Hong, K. Lum, Jung-Shan Lin
This paper proposes a fuzzy-grey sliding-mode control (FGSMC) strategy for maximum power point (MPP) tracking in photovoltaic (PV) systems. The problem to be addressed is that the linear reaching law in a previous SMC design has limited reaching speed if control saturation is to be avoided. Hence, a nonlinear reaching law is proposed by means of fuzzy-logic control which employs as inputs the sliding function, and its predicted forward difference provided by a grey-prediction algorithm. Control design is performed on an averaged system model, whereas the performances of FGSMC and SMC are compared in simulation on both the averaged model and the true switching PV system.
{"title":"Fuzzy grey sliding mode control for maximum power point tracking of photovoltaic systems","authors":"Guo-Wei Hong, K. Lum, Jung-Shan Lin","doi":"10.1109/ICCA.2013.6564957","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564957","url":null,"abstract":"This paper proposes a fuzzy-grey sliding-mode control (FGSMC) strategy for maximum power point (MPP) tracking in photovoltaic (PV) systems. The problem to be addressed is that the linear reaching law in a previous SMC design has limited reaching speed if control saturation is to be avoided. Hence, a nonlinear reaching law is proposed by means of fuzzy-logic control which employs as inputs the sliding function, and its predicted forward difference provided by a grey-prediction algorithm. Control design is performed on an averaged system model, whereas the performances of FGSMC and SMC are compared in simulation on both the averaged model and the true switching PV system.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"112 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114017930","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.2013.6564923
Changfan Zhang, Long Wen, Yuanyuan Xiao, Jing He
Multi-shaft synchronous control is a key topic of shaft-less drive printing press. It's difficult to obtain high synchronization performance and robustness by conventional synchronization strategy. The paper improves adjacent cross coupling error equation and designs sliding mode variable structure controller so that the synchronous error can be converged to zero based on the concept of adjacent cross coupling strategy. Thus multi-shaft synchronous running is realized. The simulation results of four-shaft printing system demonstrate that the control algorithm has good synchronous performance, fast dynamic response and strong robustness and it has high engineering application value as well.
{"title":"Sliding mode variable structure-based multi-shaft synchronous control method and its application in printing press","authors":"Changfan Zhang, Long Wen, Yuanyuan Xiao, Jing He","doi":"10.1109/ICCA.2013.6564923","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6564923","url":null,"abstract":"Multi-shaft synchronous control is a key topic of shaft-less drive printing press. It's difficult to obtain high synchronization performance and robustness by conventional synchronization strategy. The paper improves adjacent cross coupling error equation and designs sliding mode variable structure controller so that the synchronous error can be converged to zero based on the concept of adjacent cross coupling strategy. Thus multi-shaft synchronous running is realized. The simulation results of four-shaft printing system demonstrate that the control algorithm has good synchronous performance, fast dynamic response and strong robustness and it has high engineering application value as well.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"207 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":"115451022","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.2013.6565142
Yu Pan, Li Chai, Yuxia Sheng
The upper (lower) bound of a frame is an important index in the analysis and design of filter bank frames. There is lack of effectively numerical methods to compute the frame bounds for two-dimensional (2-D) filter banks (FBs). This paper investigates the computation problem of frame bounds and provides a frequency-independent solution. Firstly, the state space realization of 2-D FIR discrete FBs is given in the form of Roesser model. Then an LMI based optimization method is presented by using the generalized Kalman-Yakubovich-Popov (KYP) lemma. Finally, various examples are given on wavelet and Laplacian pyramid frames to demonstrate the effectiveness of the proposed method for 2-D frames.
{"title":"Frame bound computation of two-dimensional filter bank frames","authors":"Yu Pan, Li Chai, Yuxia Sheng","doi":"10.1109/ICCA.2013.6565142","DOIUrl":"https://doi.org/10.1109/ICCA.2013.6565142","url":null,"abstract":"The upper (lower) bound of a frame is an important index in the analysis and design of filter bank frames. There is lack of effectively numerical methods to compute the frame bounds for two-dimensional (2-D) filter banks (FBs). This paper investigates the computation problem of frame bounds and provides a frequency-independent solution. Firstly, the state space realization of 2-D FIR discrete FBs is given in the form of Roesser model. Then an LMI based optimization method is presented by using the generalized Kalman-Yakubovich-Popov (KYP) lemma. Finally, various examples are given on wavelet and Laplacian pyramid frames to demonstrate the effectiveness of the proposed method for 2-D frames.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"70 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":"116277213","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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