Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376742
Dong Ling-xun, Dou Li-hua, Yang Hong-ju, Liu Hang
Tank fire control system (TFCS) is a real-time and complex control system which involves multiple operation conditions and tasks. Modeling of the complete operation procedure of this complex system is usually a difficult task and rarely done well up to date. This paper describes the hybrid characteristic of TFCS, which consists of continuous dynamic behaviors and discrete event behaviors. Hybrid Petri net (HPn) is introduced to model TFCS. The proposed model consists of discrete logic layer and continuous variable layer. The continuous variable system is described by differential algebraic equations, and discrete event system is modeled via common Petri nets. The state changes of discrete logic layer drive the operation of continuous variable systems. Hybrid Petri nets represent the interactions between continuous system and discrete system and the system evolution and running process. Simulation results show that the proposed hybrid model responds well to the normal running states of TFCS operation and decision-making.
{"title":"Hybrid Modeling of Control System Based on Hybrid Petri Nets","authors":"Dong Ling-xun, Dou Li-hua, Yang Hong-ju, Liu Hang","doi":"10.1109/ICCA.2007.4376742","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376742","url":null,"abstract":"Tank fire control system (TFCS) is a real-time and complex control system which involves multiple operation conditions and tasks. Modeling of the complete operation procedure of this complex system is usually a difficult task and rarely done well up to date. This paper describes the hybrid characteristic of TFCS, which consists of continuous dynamic behaviors and discrete event behaviors. Hybrid Petri net (HPn) is introduced to model TFCS. The proposed model consists of discrete logic layer and continuous variable layer. The continuous variable system is described by differential algebraic equations, and discrete event system is modeled via common Petri nets. The state changes of discrete logic layer drive the operation of continuous variable systems. Hybrid Petri nets represent the interactions between continuous system and discrete system and the system evolution and running process. Simulation results show that the proposed hybrid model responds well to the normal running states of TFCS operation and decision-making.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124439753","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376445
Liu Yu-fei, Cui Ping-yuan, Cui Hu-tao
In researching the problems of stochastic system, we usually use the linearization method, the approximate decoupling method, and the truncated method etc. to simplify the system model. The traditional criterion is the ratio of the simplification part and the initial model. If the ratio is small enough or the model errors can be regarded as noise, we think the simplification method is reasonable. The shortage of the criterion is that it hasn't a very definite value or bound, and it can't combine the performance of the whole system. Therefore we propose a new criterion which calculates the errors and error covariance matrix of the state between the initial system and the simplified system based on Kalman filter. The new criterion judges the trace of the matrix and its convergence property. Because it uses the state equation and the measurement equation of the stochastic system, it is more suitable for the whole system performance.
{"title":"A New Criterion of the Stochastic System Simplification Based on Kalman Filter","authors":"Liu Yu-fei, Cui Ping-yuan, Cui Hu-tao","doi":"10.1109/ICCA.2007.4376445","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376445","url":null,"abstract":"In researching the problems of stochastic system, we usually use the linearization method, the approximate decoupling method, and the truncated method etc. to simplify the system model. The traditional criterion is the ratio of the simplification part and the initial model. If the ratio is small enough or the model errors can be regarded as noise, we think the simplification method is reasonable. The shortage of the criterion is that it hasn't a very definite value or bound, and it can't combine the performance of the whole system. Therefore we propose a new criterion which calculates the errors and error covariance matrix of the state between the initial system and the simplified system based on Kalman filter. The new criterion judges the trace of the matrix and its convergence property. Because it uses the state equation and the measurement equation of the stochastic system, it is more suitable for the whole system performance.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604225","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376667
Lei Yang, Jiuqiang Han, Dake Chen
New identification method of non-linear dynamic systems based on multi-scale wavelet least squares support vector machines (MS-LS-SVM) is proposed. Support vector machines (SVM) is a novel machine learning method based on small-sample statistical learning theory, which is powerful to deal with small sample, nonlinearity, high dimension, and local minima. Least squares support vector machines (LS-SVM) is an updating SVM version which involve equality instead of inequality constraints of standard SVM to simplify the process of SVM. Wavelet function with different resolution is used as kernel function in order to construct MS-LS-SVM. The condition of support vector kernel function is proved. This kind of kernel function can simulate almost any function in quadratic integral space, so it enhances the generalization ability of the SVM. According to the multi-scale wavelet kernel function and regularization theory, MS-LS-SVM regression model is proposed. The regression model formulates a new identification method of non-linear systems. Experiments show the proposed method not only has better identification precision, but also improves robustness and generalization than neural networks.
提出了基于多尺度小波最小二乘支持向量机(MS-LS-SVM)的非线性动态系统辨识新方法。支持向量机(SVM)是一种基于小样本统计学习理论的新型机器学习方法，具有处理小样本、非线性、高维和局部极小值问题的强大能力。最小二乘支持向量机(Least squares support vector machines, LS-SVM)是支持向量机的更新版本，它将标准支持向量机的不等式约束改为相等约束，以简化支持向量机的求解过程。采用不同分辨率的小波函数作为核函数构建MS-LS-SVM。证明了支持向量核函数存在的条件。这种核函数几乎可以模拟二次积分空间中的任何函数，从而增强了支持向量机的泛化能力。根据多尺度小波核函数和正则化理论，提出了MS-LS-SVM回归模型。该回归模型为非线性系统的辨识提供了一种新的方法。实验结果表明，该方法不仅具有更好的识别精度，而且鲁棒性和泛化性都优于神经网络。
{"title":"Identification of Nonlinear Systems Using Multi-scale Wavelet Support Vectors Machines","authors":"Lei Yang, Jiuqiang Han, Dake Chen","doi":"10.1109/ICCA.2007.4376667","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376667","url":null,"abstract":"New identification method of non-linear dynamic systems based on multi-scale wavelet least squares support vector machines (MS-LS-SVM) is proposed. Support vector machines (SVM) is a novel machine learning method based on small-sample statistical learning theory, which is powerful to deal with small sample, nonlinearity, high dimension, and local minima. Least squares support vector machines (LS-SVM) is an updating SVM version which involve equality instead of inequality constraints of standard SVM to simplify the process of SVM. Wavelet function with different resolution is used as kernel function in order to construct MS-LS-SVM. The condition of support vector kernel function is proved. This kind of kernel function can simulate almost any function in quadratic integral space, so it enhances the generalization ability of the SVM. According to the multi-scale wavelet kernel function and regularization theory, MS-LS-SVM regression model is proposed. The regression model formulates a new identification method of non-linear systems. Experiments show the proposed method not only has better identification precision, but also improves robustness and generalization than neural networks.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114844649","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376485
Z. Qiu, Ying Zhou, Jialei Wang, Ping Zhang, Zuojun Liu
The paper proposed a novel immune multi agent recognizer model. In this model, each agent recognizer is an immune RBF neural network model. In the immune RBF neural network model, input data are regarded as antigens and the compression cluster mappings of antigens as antibodies, i.e., the hidden layer centers, and the weights of the output layer can be determined by using least squares algorithm. In the immune multi agent recognizer model, each recognition subsystem possesses respective different recognizers and each agent recognizer can recognize a sort of antigen or similar antigen, so more information can be gathered. After synthesizing all information, a better result can be achieved. The model has the characteristics of distribution, robustness and adaptability.
{"title":"Study on Multi Agent Recognizer Model Based on Immune RBF Neural Network","authors":"Z. Qiu, Ying Zhou, Jialei Wang, Ping Zhang, Zuojun Liu","doi":"10.1109/ICCA.2007.4376485","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376485","url":null,"abstract":"The paper proposed a novel immune multi agent recognizer model. In this model, each agent recognizer is an immune RBF neural network model. In the immune RBF neural network model, input data are regarded as antigens and the compression cluster mappings of antigens as antibodies, i.e., the hidden layer centers, and the weights of the output layer can be determined by using least squares algorithm. In the immune multi agent recognizer model, each recognition subsystem possesses respective different recognizers and each agent recognizer can recognize a sort of antigen or similar antigen, so more information can be gathered. After synthesizing all information, a better result can be achieved. The model has the characteristics of distribution, robustness and adaptability.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114971294","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376749
Baolin Zhang, F. Cao, Hui Ma, Hong Zhang
A feedforward and feedback optimal control algorithm is developed for a class of weak nonlinear discrete systems affected by additive disturbances. By using the successive approximation approach (SAA), we solve the coupled nonlinear two-point boundary value (TPBV) problem derived from the necessary condition of the optimal control problem. The main result concerns the existence and design of a feedforward and feedback optimal control law. The optimal control law obtained consists of an accurate feedback term, a feedforward compensation term and a nonlinear compensation term. The feedback and the feedforward terms can be obtained by solving a Riccati equation and a Slyester equation respectively. The nonlinear term can be approximated via adjoint vector sequences. Also, a disturbances observer is constructed to make the optimal control law physically realizable. The validity of the algorithm is showed by an example.
{"title":"Optimal Disturbances Rejection Control for a Class of Weak Nonlinear Discrete Systems","authors":"Baolin Zhang, F. Cao, Hui Ma, Hong Zhang","doi":"10.1109/ICCA.2007.4376749","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376749","url":null,"abstract":"A feedforward and feedback optimal control algorithm is developed for a class of weak nonlinear discrete systems affected by additive disturbances. By using the successive approximation approach (SAA), we solve the coupled nonlinear two-point boundary value (TPBV) problem derived from the necessary condition of the optimal control problem. The main result concerns the existence and design of a feedforward and feedback optimal control law. The optimal control law obtained consists of an accurate feedback term, a feedforward compensation term and a nonlinear compensation term. The feedback and the feedforward terms can be obtained by solving a Riccati equation and a Slyester equation respectively. The nonlinear term can be approximated via adjoint vector sequences. Also, a disturbances observer is constructed to make the optimal control law physically realizable. The validity of the algorithm is showed by an example.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122064945","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376318
Guanghong Yang, Weiwei Che
This paper presents a study on the problem of non-fragile H∞ controller design with sparse structure for SISO linear continuous-time systems. The controller to be designed with sparse structure is assumed to have additive gain variations, which are due to the finite world length(FWL) effects when the controller is implemented. Design methods for non-fragile H∞ controller with sparse structure are provided. The resulting designs guarantee the closed-loop systems asymptotically stable and the H∞ performance from the disturbance to the regulated output being less than a prescribed level. A numerical example is given to illustrate the design methods.
{"title":"Non-fragile H∞ controller design with sparse structure","authors":"Guanghong Yang, Weiwei Che","doi":"10.1109/ICCA.2007.4376318","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376318","url":null,"abstract":"This paper presents a study on the problem of non-fragile H∞ controller design with sparse structure for SISO linear continuous-time systems. The controller to be designed with sparse structure is assumed to have additive gain variations, which are due to the finite world length(FWL) effects when the controller is implemented. Design methods for non-fragile H∞ controller with sparse structure are provided. The resulting designs guarantee the closed-loop systems asymptotically stable and the H∞ performance from the disturbance to the regulated output being less than a prescribed level. A numerical example is given to illustrate the design methods.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133510","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376588
Junsheng Ren
This paper addresses H∞ filtering problem for fuzzy dynamical systems with time delays based on Takagi-Sugeno (T-S) model. The main objective is to obtain fuzzy H∞ filter such that the filtering error system is stable and guarantees a prescribed estimation error level. By use of delay-dependent Lyapunov functional approach, sufficient conditions are derived for the existence of fuzzy H∞ filter in terms of linear matrix inequalities (LMI). An example is given to illustrate the proposed results.
{"title":"Delay-dependent fuzzy H∞ filtering for a class of nonlinear systems with time delays","authors":"Junsheng Ren","doi":"10.1109/ICCA.2007.4376588","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376588","url":null,"abstract":"This paper addresses H<sub>∞</sub> filtering problem for fuzzy dynamical systems with time delays based on Takagi-Sugeno (T-S) model. The main objective is to obtain fuzzy H<sub>∞</sub> filter such that the filtering error system is stable and guarantees a prescribed estimation error level. By use of delay-dependent Lyapunov functional approach, sufficient conditions are derived for the existence of fuzzy H<sub>∞</sub> filter in terms of linear matrix inequalities (LMI). An example is given to illustrate the proposed results.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124073352","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376339
Xinnian Wang, Dequn Liang, Zhang Tao
The ultrasonic technique has been widely used in nondestructive test and plays a very important role. Keeping the ultrasonic test (UT) heads in a constant position relative to the weld center line is a very important factor that determines the accuracy of automatic ultrasonic nondestructive test system. The existing methods such as using idler wheel or laser projection are very tedious and difficult to operate even for a skilled worker. A novel vision based method to find the weld center is given. Numerous experiments have proven that the proposed vision based method is robust to optical disturbances such as glares, specula reflection or diffuse reflection from the smooth and flat area of the pipe, water, and etc. The automatic ultrasonic nondestructive test system using the proposed method has been successfully used in many petroleum steel pipe plants.
{"title":"A Robust Vision Based Weld Center Finding Method In Automatic Ultrasonic Nondestructive Test","authors":"Xinnian Wang, Dequn Liang, Zhang Tao","doi":"10.1109/ICCA.2007.4376339","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376339","url":null,"abstract":"The ultrasonic technique has been widely used in nondestructive test and plays a very important role. Keeping the ultrasonic test (UT) heads in a constant position relative to the weld center line is a very important factor that determines the accuracy of automatic ultrasonic nondestructive test system. The existing methods such as using idler wheel or laser projection are very tedious and difficult to operate even for a skilled worker. A novel vision based method to find the weld center is given. Numerous experiments have proven that the proposed vision based method is robust to optical disturbances such as glares, specula reflection or diffuse reflection from the smooth and flat area of the pipe, water, and etc. The automatic ultrasonic nondestructive test system using the proposed method has been successfully used in many petroleum steel pipe plants.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125759801","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376694
B. Hajer, B.B. Naceur
This paper shows that the Kronecker product and the properties of tensoriel algebra are useful tools for non quadratic stability analysis. When using them, sufficient conditions for global asymptotic stability of polynomial systems can be easily derived in terms of LMI feasibility tests for the existence of homogeneous Lyapunov functions of even degree.
{"title":"Homogeneous Lyapunov functions for polynomial systems: a Tensor product approach","authors":"B. Hajer, B.B. Naceur","doi":"10.1109/ICCA.2007.4376694","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376694","url":null,"abstract":"This paper shows that the Kronecker product and the properties of tensoriel algebra are useful tools for non quadratic stability analysis. When using them, sufficient conditions for global asymptotic stability of polynomial systems can be easily derived in terms of LMI feasibility tests for the existence of homogeneous Lyapunov functions of even degree.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842621","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 : 2007-11-05DOI: 10.1109/ICCA.2007.4376931
Lin Ying, Luo Jin-yan
The frequency-band derangement phenomenon of wavelet packet decomposition nodes, resulted from the defects of the DWT fast algorithms, is discussed. The rule of frequency-band derangement of wavelet packets nodes is studied with the method for signal processing experiments based on wavelet packets analysis, and then the means of adjusting frequency-band nodes in sequence is exploited. It is also found that the sequence of the adjusted wavelet packet nodes is the same as the Graycode, so with the idea of adjusting wavelet packet nodes, a new simple Gray coding algorithm is proposed.
{"title":"Experimental Research on the Rule of Frequency-Band Derangement in Wavelet Packet Transform","authors":"Lin Ying, Luo Jin-yan","doi":"10.1109/ICCA.2007.4376931","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376931","url":null,"abstract":"The frequency-band derangement phenomenon of wavelet packet decomposition nodes, resulted from the defects of the DWT fast algorithms, is discussed. The rule of frequency-band derangement of wavelet packets nodes is studied with the method for signal processing experiments based on wavelet packets analysis, and then the means of adjusting frequency-band nodes in sequence is exploited. It is also found that the sequence of the adjusted wavelet packet nodes is the same as the Graycode, so with the idea of adjusting wavelet packet nodes, a new simple Gray coding algorithm is proposed.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313788","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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