Pub Date : 2009-05-11DOI: 10.1109/CIMSA.2009.5069931
Xiao-hong Huang
The economic system, especially the macro-economic system, is a complex system with nonlinear, time-varying and coupling characteristics. Aiming at the macroeconomic modeling and forecasting problem, a support vector machine method is proposed in this paper. The modeling method of least square support vector machine is mathematically analyzed first, and then an improved multi-scale chaotic optimization algorithm combined with the genetic algorithm is proposed to optimize the model parameters. Using historical economic data, the model is trained and used for forecasting. Forecasting results show that the prediction accuracy has been improved, the average error rate decreases from 15% achieved by the BP neural network to less than 4% by the proposed algorithm.
{"title":"Economic forecasting based on chaotic optimized support vector machines","authors":"Xiao-hong Huang","doi":"10.1109/CIMSA.2009.5069931","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069931","url":null,"abstract":"The economic system, especially the macro-economic system, is a complex system with nonlinear, time-varying and coupling characteristics. Aiming at the macroeconomic modeling and forecasting problem, a support vector machine method is proposed in this paper. The modeling method of least square support vector machine is mathematically analyzed first, and then an improved multi-scale chaotic optimization algorithm combined with the genetic algorithm is proposed to optimize the model parameters. Using historical economic data, the model is trained and used for forecasting. Forecasting results show that the prediction accuracy has been improved, the average error rate decreases from 15% achieved by the BP neural network to less than 4% by the proposed algorithm.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125547942","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069908
D. Megherbi, Yi Miao
Given a time-varying face image object, or only a sub-part of the image, the question of whether the template object image exists in a given image database is an important problem our days, which still remains in its infancy, due to the many challenges it involves. With the advantage of distributed computing, such as computation sharing and data storage sharing, the limitations of image retrieval in a centralized image database can be eliminated. In this paper, we present an efficient method and architecture to determine whether a given face, of sub-part (s) of it, with time-varying features, disguises, and facial expressions is stored in a collection of known faces stored in nominal configurations. We demonstrate If such image exists, a match report is presented and the image position and rotation are derived as well. We show here how by combining a distributed computing and image sub-patch correlation technique in the image pattern recognition phase, the performance of the image searching is significantly improved.
{"title":"A distributed technique for recognition and retrieval of faces with time-varying expressions","authors":"D. Megherbi, Yi Miao","doi":"10.1109/CIMSA.2009.5069908","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069908","url":null,"abstract":"Given a time-varying face image object, or only a sub-part of the image, the question of whether the template object image exists in a given image database is an important problem our days, which still remains in its infancy, due to the many challenges it involves. With the advantage of distributed computing, such as computation sharing and data storage sharing, the limitations of image retrieval in a centralized image database can be eliminated. In this paper, we present an efficient method and architecture to determine whether a given face, of sub-part (s) of it, with time-varying features, disguises, and facial expressions is stored in a collection of known faces stored in nominal configurations. We demonstrate If such image exists, a match report is presented and the image position and rotation are derived as well. We show here how by combining a distributed computing and image sub-patch correlation technique in the image pattern recognition phase, the performance of the image searching is significantly improved.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126052931","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069929
D. Megherbi, Jelena Radumilo-Franklin
The main focus of this paper is on issues related to communications, load balancing, resource sharing and allocation in a distributed computing system, as applied to battlefield simulation. We present a distributed architecture of a middleware and algorithms for communications, scheduling and load balancing. In the proposed distributed architecture the nodes use the Multi-Token Message Passing Interface (MPI) over the message based Myrinet communication system, namely the GM protocol, on a Gigabit Myrinet switch to communicate with each other. As we show here this brings in additional implementation challenges regarding (a) the safe usage of threads and MPI, (b) expanding MPI to support additional data-types specific to the sought battlefield simulation applications, and (3) modifying MPI to achieve equal distribution of load among nodes. The main task in load balancing is to keep load equally distributed among the computing nodes, and yet keep the notion of geographically distributed agents transparent. An additional challenge is posed by the fact that when the application is running, load balancing has to be continuously adapted- i.e. no run-time stopping is allowed to redistribute the load among nodes.
{"title":"An intelligent multi-agent distributed battlefield via Multi-Token Message Passing","authors":"D. Megherbi, Jelena Radumilo-Franklin","doi":"10.1109/CIMSA.2009.5069929","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069929","url":null,"abstract":"The main focus of this paper is on issues related to communications, load balancing, resource sharing and allocation in a distributed computing system, as applied to battlefield simulation. We present a distributed architecture of a middleware and algorithms for communications, scheduling and load balancing. In the proposed distributed architecture the nodes use the Multi-Token Message Passing Interface (MPI) over the message based Myrinet communication system, namely the GM protocol, on a Gigabit Myrinet switch to communicate with each other. As we show here this brings in additional implementation challenges regarding (a) the safe usage of threads and MPI, (b) expanding MPI to support additional data-types specific to the sought battlefield simulation applications, and (3) modifying MPI to achieve equal distribution of load among nodes. The main task in load balancing is to keep load equally distributed among the computing nodes, and yet keep the notion of geographically distributed agents transparent. An additional challenge is posed by the fact that when the application is running, load balancing has to be continuously adapted- i.e. no run-time stopping is allowed to redistribute the load among nodes.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204153","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069959
Ming-Bao Li, Jiawei Zhang
Particle swarm optimization algorithm based neural network construction has been presented to calibrate the complex nonlinear relationship between modulus of elasticity (MOE) and wood physical property parameters. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local minimum value, a hybrid algorithm using particle swarm optimization (PSO) and back propagation (BP) is adopted to train the neural network. Modeling and Simulation results show that the optimization technique based on PSO modeling method is feasible and effective, with high generalization ability of the model and forecast accuracy.
{"title":"Hybrid pso algorithm for estimation modulus of elasticity of wood","authors":"Ming-Bao Li, Jiawei Zhang","doi":"10.1109/CIMSA.2009.5069959","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069959","url":null,"abstract":"Particle swarm optimization algorithm based neural network construction has been presented to calibrate the complex nonlinear relationship between modulus of elasticity (MOE) and wood physical property parameters. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local minimum value, a hybrid algorithm using particle swarm optimization (PSO) and back propagation (BP) is adopted to train the neural network. Modeling and Simulation results show that the optimization technique based on PSO modeling method is feasible and effective, with high generalization ability of the model and forecast accuracy.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"273 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132605509","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069930
Wenjin Dai, Baofu Wang, Youhui Xie
The conventional PI controller used in active power filters (APF) requires precise linear mathematical models, which are difficult to obtain and may not give satisfactory performance under parameter variations, load disturbances, etc. In order to address this shortcoming, the novel fuzzy logic controller which is composed of PI controller and fuzzy controller is proposed in this paper. The combined controller does not need an accurate mathematical model, can work with imprecise inputs, can handle non-linearity, and are more robust than conventional controllers. Finally, the MATLAB simulation results verify the good dynamic performance, transient stability and strong robustness of the combined controller. Further, compensation of reactive power and harmonics is found to be satisfactory, and the results reflect the effectiveness of the proposed APF to meet the IEEE-519 standard recommendations on harmonic levels.
{"title":"A novel fuzzy logic controller for active power filter","authors":"Wenjin Dai, Baofu Wang, Youhui Xie","doi":"10.1109/CIMSA.2009.5069930","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069930","url":null,"abstract":"The conventional PI controller used in active power filters (APF) requires precise linear mathematical models, which are difficult to obtain and may not give satisfactory performance under parameter variations, load disturbances, etc. In order to address this shortcoming, the novel fuzzy logic controller which is composed of PI controller and fuzzy controller is proposed in this paper. The combined controller does not need an accurate mathematical model, can work with imprecise inputs, can handle non-linearity, and are more robust than conventional controllers. Finally, the MATLAB simulation results verify the good dynamic performance, transient stability and strong robustness of the combined controller. Further, compensation of reactive power and harmonics is found to be satisfactory, and the results reflect the effectiveness of the proposed APF to meet the IEEE-519 standard recommendations on harmonic levels.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121775165","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069914
Yanmei Chai, Xiaoyan Zhu, Sen Zhou, Yiting Bian, Fan Bu, W. Li, Jingsong Zhu
The number of digital photos in the personal computer is exploding. In an effective photo management system, photo annotation is the most challenging task. The current photo annotation and management systems suffer from two crucial problems. One is the expression of semantic knowledge; the other is the way of photo annotation. Aiming at the former problem, this paper proposes to utilize ontology to organize the domain knowledge and provide formal, explicit and conceptual annotation. Meanwhile, a dual-level semi-automatic annotation approach is also proposed to resolve the latter problem. The rough annotation layer provides preliminary annotation by automatically extracting some semantic concepts from photo titles/texts, time concepts from EXIF metadata, and photo classification concepts from the result of face detection algorithms. The accurate annotation layer provides more detailed annotation by allowing users to modify, delete and add the annotation information freely. An ontology based photo management system OntoAlbum is implemented in this paper. Experimental results show that the proposed approach is very effective and promising.
{"title":"Ontology-based digital photo annotation using multi-source information","authors":"Yanmei Chai, Xiaoyan Zhu, Sen Zhou, Yiting Bian, Fan Bu, W. Li, Jingsong Zhu","doi":"10.1109/CIMSA.2009.5069914","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069914","url":null,"abstract":"The number of digital photos in the personal computer is exploding. In an effective photo management system, photo annotation is the most challenging task. The current photo annotation and management systems suffer from two crucial problems. One is the expression of semantic knowledge; the other is the way of photo annotation. Aiming at the former problem, this paper proposes to utilize ontology to organize the domain knowledge and provide formal, explicit and conceptual annotation. Meanwhile, a dual-level semi-automatic annotation approach is also proposed to resolve the latter problem. The rough annotation layer provides preliminary annotation by automatically extracting some semantic concepts from photo titles/texts, time concepts from EXIF metadata, and photo classification concepts from the result of face detection algorithms. The accurate annotation layer provides more detailed annotation by allowing users to modify, delete and add the annotation information freely. An ontology based photo management system OntoAlbum is implemented in this paper. Experimental results show that the proposed approach is very effective and promising.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276761","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069947
R. D. Labati, M. Gamassi, V. Piuri, F. Scotti
In many applications such as the furniture and the wood panel production, the classification of wood kinds can provide relevant information concerning the aspect, the properties and the preparation procedures of the products. Usually, the wood kind classification is made by trained operators, but this solution suffers of important drawbacks: it is time consuming and it has low repeatability/accuracy since the classification is related to the operator experience and fatigue. In the literature, some attempts to solve this applicative problem by automatic systems are present, but, unfortunately, these solutions present complex measures and setups. In this paper, we present a novel approach for wood kinds classification based on a neural network system which exploits the emitted spectrum of the wood samples filtered with a bank of low-cost optical filters coupled with a set of photo detectors. The structure of the proposed system can be directly implemented in an embedded low-cost system. The results of the system simulations are very satisfactory and they demonstrate that this approach is feasible and very promising.
{"title":"A low-cost neural-based approach for wood types classification","authors":"R. D. Labati, M. Gamassi, V. Piuri, F. Scotti","doi":"10.1109/CIMSA.2009.5069947","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069947","url":null,"abstract":"In many applications such as the furniture and the wood panel production, the classification of wood kinds can provide relevant information concerning the aspect, the properties and the preparation procedures of the products. Usually, the wood kind classification is made by trained operators, but this solution suffers of important drawbacks: it is time consuming and it has low repeatability/accuracy since the classification is related to the operator experience and fatigue. In the literature, some attempts to solve this applicative problem by automatic systems are present, but, unfortunately, these solutions present complex measures and setups. In this paper, we present a novel approach for wood kinds classification based on a neural network system which exploits the emitted spectrum of the wood samples filtered with a bank of low-cost optical filters coupled with a set of photo detectors. The structure of the proposed system can be directly implemented in an embedded low-cost system. The results of the system simulations are very satisfactory and they demonstrate that this approach is feasible and very promising.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128052458","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069940
A. Yassine, S. Shirmohammadi
As many people are now taking advantages of on-line services, the value of the private data they own comes into sight as a problem of fundamental concern. This paper takes the position that, individuals are entitled to secure control over their personal information, disclosing it as part of a transaction only when they are fairly compensated. To make this a concrete possibility, users require technical instruments to be able to measure their privacy payoff and track the use of their private data. In this paper, we propose an intelligent agent-based framework for privacy payoff measurements and negotiation. Intelligent agents in our system collaboratively work on behalf of users for the goal of maximizing their benefit and protect the use of their private data. The overall framework is described, and a particular simulation experiment is presented to evaluate our approach.
{"title":"Measuring users' privacy payoff using intelligent agents","authors":"A. Yassine, S. Shirmohammadi","doi":"10.1109/CIMSA.2009.5069940","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069940","url":null,"abstract":"As many people are now taking advantages of on-line services, the value of the private data they own comes into sight as a problem of fundamental concern. This paper takes the position that, individuals are entitled to secure control over their personal information, disclosing it as part of a transaction only when they are fairly compensated. To make this a concrete possibility, users require technical instruments to be able to measure their privacy payoff and track the use of their private data. In this paper, we propose an intelligent agent-based framework for privacy payoff measurements and negotiation. Intelligent agents in our system collaboratively work on behalf of users for the goal of maximizing their benefit and protect the use of their private data. The overall framework is described, and a particular simulation experiment is presented to evaluate our approach.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"936 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427020","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069945
Yunfeng Wu, S. Krishnan
Abstract-Externally recorded knee-joint vibroarthrographic (VAG) signals bear diagnostic information related to degenerative conditions of cartilage disorders in a knee. In this paper, the number of atoms derived from wavelet matching pursuit (MP) decomposition and the parameter of turns count with the fixed threshold that characterizes the waveform variability of VAG signals were extracted for computer-aided analysis. A novel multiple classifier system (MCS) based on the adaptive weighted fusion (AWF) method is proposed for the classification of VAG signals. The experimental results shows that the proposed AWF-based MCS is able to provide the classification accuracy of 80.9%, and the area of 0.8674 under the receiver operating characteristic curve over the data set of 89 VAG signals. Such results are superior to those obtained with best component classifier in the form of least-squares support vector machine, and the popular Bagging ensemble method.
{"title":"An adaptive classifier fusion method for analysis of knee-joint vibroarthrographic signals","authors":"Yunfeng Wu, S. Krishnan","doi":"10.1109/CIMSA.2009.5069945","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069945","url":null,"abstract":"Abstract-Externally recorded knee-joint vibroarthrographic (VAG) signals bear diagnostic information related to degenerative conditions of cartilage disorders in a knee. In this paper, the number of atoms derived from wavelet matching pursuit (MP) decomposition and the parameter of turns count with the fixed threshold that characterizes the waveform variability of VAG signals were extracted for computer-aided analysis. A novel multiple classifier system (MCS) based on the adaptive weighted fusion (AWF) method is proposed for the classification of VAG signals. The experimental results shows that the proposed AWF-based MCS is able to provide the classification accuracy of 80.9%, and the area of 0.8674 under the receiver operating characteristic curve over the data set of 89 VAG signals. Such results are superior to those obtained with best component classifier in the form of least-squares support vector machine, and the popular Bagging ensemble method.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129054080","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069937
H. Deng, Zhen Xu, Han-Xiong Li
An internal model based neural network control is proposed for unknown multi-input multi-output (MIMO) nonlinear processes in non-affine discrete-time state space form under model mismatch and disturbances. Based on the neural state space model built for an unknown nonlinear MIMO state space process, an approximate internal model and approximate decoupling controllers are derived simultaneously. Thus, the learning of the inverse process dynamics is not required. The neural network model based extended Kalman observer is used to estimate the states of a nonlinear process as not all states are accessible. The application to a distributed thermal process shows the effectiveness of the proposed approach on suppressing nonlinear coupling and external disturbance and its feasibility to the control of non-affine nonlinear MIMO processes.
{"title":"Nueral network internal model control for MIMO nonlinear processes","authors":"H. Deng, Zhen Xu, Han-Xiong Li","doi":"10.1109/CIMSA.2009.5069937","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069937","url":null,"abstract":"An internal model based neural network control is proposed for unknown multi-input multi-output (MIMO) nonlinear processes in non-affine discrete-time state space form under model mismatch and disturbances. Based on the neural state space model built for an unknown nonlinear MIMO state space process, an approximate internal model and approximate decoupling controllers are derived simultaneously. Thus, the learning of the inverse process dynamics is not required. The neural network model based extended Kalman observer is used to estimate the states of a nonlinear process as not all states are accessible. The application to a distributed thermal process shows the effectiveness of the proposed approach on suppressing nonlinear coupling and external disturbance and its feasibility to the control of non-affine nonlinear MIMO processes.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656020","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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