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Fault Detection Filter Design for Linear Polytopic Uncertain Continuous-time Systems

自动化学报 2010年第5期36卷 742-750页

作者： WANG Heng JU He-Hua YANG Guang-Hong College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 P.R. China Key Laboratory of Integrated Automation for the Process Industry Ministry of Education Shenyang 110004 P. R. China College of Information Science and Engineering Northeastern University Shenyang 110004 P. R. China

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems.A design procedure dealing with parameter uncertainties is proposed for residual generation,the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance *** the aid of the generalized Kalman-Yakubovich-Popov(GKYP)lemma,the fault sensitivity performance index can be dealt with in the given frequency range directly,which avoids approximations associated with frequency weights of the existing *** iterative algorithm based on linear matrix inequality(LMI)is given to obtain the solutions.A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词：不连续系统 LMI GKYP 自动化系统

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Absolute stability of Lur'e singularly perturbed systems with multiple nonlinearities

Absolute stability of Lur'e singularly perturbed systems wit...

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作者： Yang, Chunyu Zhang, Qingling Chou, Jyh-Horng Zhang, Yingwei Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China Institute of Systems Science Northeastern University Shenyang 110004 China Institute of System Information and Control Engineering National Kaohsiung First University of Science and Technology I University Road Yuanchau Kaohsiung 824 Taiwan

ISBN: (纸本)9781424474264

This paper investigates the absolute stability problem for Lur'e singularly perturbed systems with multiple nonlinearities. The objective is to determine if the system is absolutely stable for any Ε ∈ (0, Ε0], where Ε denotes the perturbation parameter and Ε0 is a pre-defined positive scalar. Firstly, an Ε-dependent Lyapunov function of Lur'e-postnikov form is constructed. Then, a stability criterion expressed in terms of Ε-independent linear matrix inequalities (LMIs) is derived. Finally, an example is given to show the feasibility and effectiveness of the obtained method. © 2010 AACC.

关键词： Stability criteria

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A Hierarchical Image Annotation Method Based on SVM and Semi-supervised EM

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Acta Automatica Sinica 2010年第7期36卷 960-967页

作者： Yan-Yu Gao Yi-Xin YIN Takashi UOZUMI School of Information Engineering University of Science and Technology Beijing Beijing 100083 P. R. China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 P. R. China Department of Computer Science and Systems Engineering Muroran Institute of Technology Muroran 050-8585 Japan

Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.

关键词： Hierarchical image annotation support vector machine (SVM) semi-supervised expectation-maximization coexistence relative location relationship

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Intelligent sliding mode control of nonlinear systems based on cloud models

Intelligent sliding mode control of nonlinear systems based ...

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作者： Sun, Qu Wang, Yongyu School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education Beijing 100083 China Century College University of Beijing Post and Telecommunication Beijing 100876 China

ISBN: (纸本)9787894631046

In order to overcome the drawbacks in the sliding-mode controller and the cloud controller, a novel intelligent sliding-mode controller is studied, which combines the two controllers for the first time. A sliding-mode controller based on cloud models, which consists of an equivalent controller and a cloud controller, is proposed for nonlinear systems with system uncertainties and external disturbances. The cloud controller, with the sliding-mode function as its input, is used to replace the discontinuous switch control part to alleviate the chattering phenomenon effectively. The stability of close-loop control system is guaranteed using Lyapunov stability theory. Finallythe designed sliding-mode controller is used to control the Genesion chaos system, and the simulation results demonstrated the feasibility and robustness of the method.

关键词： controllers

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Prediction and control of strip thickness based on Bayesian neural networks

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and technology Beijing 2010年第2期32卷 256-262页

作者： Peng, Kai-Xiang Yu, Shang-Zhi School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

The Bayesian statistical theory was adopted to improve traditional neural network algorithms, and constraints representing network structural complexity were introduced to the network objective function in order to avoid over-fitting the networks and enhance the generalization ability. The improved networks were applied to strip thickness prediction in Jigang 1700mm mill, and the prediction result is superior to that of traditional neural networks in forecasting accuracy, training time and network stability. Then, the Bayesian neural networks were used to predict the plasticity coefficient of strips. Finally, the real-time forecasts of exit thickness and plasticity coefficient of strips were synthetically utilized in the thickness control system of hot strip rolling to improve strip quality further.

关键词： Forecasting

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Multiple model adaptive control of a kind of discrete time nonlinear

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Kongzhi yu Juece/control and Decision 2010年第6期25卷 841-846页

作者： Li, Xiao-Li School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process of Ministry of Education University of Science and Technology Beijing Beijing 100083 China

According to the varying scope of parameters, multiple models are set up for a kind of discrete time nonlinear system, and the corresponding controllers based on these models are given. At every sample time, the best model is selected by using an index switching function based on the estimation error of every model, and the controller based on this model is switched. "Localization" method is used to decrease the computing quantity of multiple model adaptive controller without the loss of control property. It can be proved that the closed-loop system is stable when different controllers are switched each other. Due to the existence of multiple models, the control performance is improved greatly.

关键词： controllers

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Fault Detection Filter Design for Linear Polytopic Uncertain Continuous-time Systems

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Acta Automatica Sinica 2010年第5期36卷 742-750页

作者： Heng WANG He-Hua JU Guang-Hong YANG College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 P. R. China Key Laboratory of Integrated Automation for the Process Industry Ministry of Education Shenyang 110004 P. R. China College of Information Science and Engineering Northeastern University Shenyang 110004 P. R. China

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems. A design procedure dealing with parameter uncertainties is proposed for residual generation, the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance indexes. By the aid of the generalized Kalman-Yakubovich-Popov (GKYP) lemma, the fault sensitivity performance index can be dealt with in the given frequency range directly, which avoids approximations associated with frequency weights of the existing techniques. An iterative algorithm based on linear matrix inequality (LMI) is given to obtain the solutions. A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词： Fault detection polytopic uncertainty Kalman-Yakubovich-Popov (GKYP) lemma linear matrix inequality (LMI)

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Absolute stability of Lur'e singularly perturbed systems with multiple nonlinearities

Absolute stability of Lur'e singularly perturbed systems wit...

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American control Conference

作者： Chunyu Yang Qingling Zhang Jyh-Horng Chou Yingwei Zhang Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 P.R. China Institute of Systems Science Northeastern University Shenyang 110004 P.R. China Institute of System Information and Control Engineering National Kaohsiung First University of Science and Technology I University Road Yuanchau Kaohsiung 824 Taiwan

ISBN: (纸本)9781424474264

This paper investigates the absolute stability problem for Lur'e singularly perturbed systems with multiple nonlinearities. The objective is to determine if the system is absolutely stable for any epsilon E (0, (epsilon)_(0)], where epsilon denotes the perturbation parameter and (epsilon)_(0) is a pre-defined positive scalar. Firstly, an epsilon-dependent Lyapunov function of Lur'e-postnikov form is constructed. Then, a stability criterion expressed in terms of epsilon-independent linear matrix inequalities (LMIs) is derived. Finally, an example is given to show the feasibility and effectiveness of the obtained method.

关键词： Robust stability Stability criteria control systems Lyapunov method Power system stability Power system modeling educational institutions Nonlinear control systems control nonlinearities USA Councils

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Evolutionary algorithm using kernel density estimation model in continuous domain

Evolutionary algorithm using kernel density estimation model...

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Asian control Conference

作者： Na Luo Feng Qian Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781424454402

Estimation of distribution algorithm (EDA) is a kind of evolutionary algorithm which updates and samples from probabilistic model in evolutionary course. The key of EDA is the construction of probability model suitable for real distribution. Gaussian distribution is widely used in EDAs but the assumption of normality is not realistic for many real-life problems. In this paper, a new EDA using kernel density estimation (KEDA) is introduced. Adaptive change strategy of kernel width is presented and selection scheme, sampling method are also given cooperated with KEDA. The results of 5 benchmark functions show that results of KEDA outperform PBIL C , UMDA C , EDA G , H-EDA.

关键词： Evolutionary computation Kernel Electronic design automation and methodology Laboratories Histograms Density functional theory Gaussian distribution Automatic control Chemical processes control engineering education

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Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem

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Soft Computing 2009年第9期14卷 921-929页

作者： Yu, Yanfang Qian, Feng Liu, Huimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Linear programming support vector regression shows improved reliability and generates sparse solution, compared with standard support vector regression. We present the v-linear programming support vector regression approach based on quantum clustering and weighted strategy to solve the multivariable nonlinear regression problem. First, the method applied quantum clustering to variable selection, introduced inertia weight, and took prediction precision of v-linear programming support vector regression as evaluation criteria, which effectively removed redundancy feature attributes and also reduced prediction error and support vectors. Second, it proposed a new weighted strategy due to each data point having different influence on regression model and determined the weighted parameter p in terms of distribution of training error, which greatly improved the generalization approximate ability. Experimental results demonstrated that the proposed algorithm enabled the mean squared error of test sets of Boston housing, Bodyfat, Santa dataset to, respectively, decrease by 23.18, 78.52, and 41.39%, and also made support vectors degrade rapidly, relative to the original v-linear programming support vector regression method. In contrast with other methods exhibited in the relevant literatures, the present algorithm achieved better generalization performance.

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