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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Dawei Ding Xiaoli Li Yixin Yin Dexin Liu School of Automation and Electrical Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 China

This paper investigates the problem of non-fragile static output feedback control (SOF) design for discrete-time linear systems. Interval type of additive gain variations to reflect imprecision in controller implementation is considered. The non-fragile SOF controller design is firstly formulated as a robust convex problem. Then a deterministic algorithm and a randomized one are proposed to solve the obtained robust convex problem. These two algorithms complements each other. The deterministic algorithm is suitable for systems with low dimensions, while the randomized one is applicable for systems with high dimensions. In addition, the randomized algorithm can alleviate the conservatism of the deterministic one. Two examples are given to show the effectiveness of the proposed method.

关键词： Non-fragile Static output feedback Randomized algorithms.

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Phase-Based RMFDA Fault Diagnosis Method Using Bootstrap Technique

Phase-Based RMFDA Fault Diagnosis Method Using Bootstrap Tec...

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2011 International Conference on Mechanical engineering and Technology(ICMET 2011)

作者： Shu Wang Zhen Zhao Yu-qing Chang Fu-li Wang Information Science and Engineering School Northeastern University Key Laboratory of Integrated Automation of Process Industry Northeastern University School of Information & Control Engineering Liaoning University of Petroleum & Chemical Technology

The fault diagnosis performance of Fisher Discriminant Analysis(FDA) method is superior to Principle Component Analysis(PCA) by taking into account both normal and fault data for modeling. For the cases with insufficient fault data, a diagnosis strategy is developed based on Bootstrap and phase-based Recursive Multi-way Fisher Discriminant Analysis(RMFDA). By this method, modeling data was constructed by Bootstrap. Besides, the diagnosis information of the previous phase was introduced in the next phase for MFDA modeling by combining recursive method. The effectiveness of the proposed method is demonstrated by applying it to the hydraulic tube tester.

关键词： Bootstrap,sub phase,RMFDA,fault diagnosis

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Gradient-based iterative parameter identification for multi-input multi-output OEMA-like models

Gradient-based iterative parameter identification for multi-...

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2011 American control Conference (ACC)

作者： Zhening Zhang Feng Ding Dongqing Wang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China College of Automation Engineering Qingdao University of China Qingdao China

This paper develops a hierarchical gradient-based iterative estimation algorithm for multi-input multi-output output error moving average (OEMA-like) models. In order to solve the difficulties that the noise-free outputs and the noise terms in the information vector/matrix of the corresponding identification model are unmeasurable, we replace the unknown variables in the information vector/matrix with their estimates. The simulation results show the effectiveness of the proposed algorithm.

关键词： Mathematical model Equations Parameter estimation Iterative methods Stochastic processes Computers

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Modified recursive partial least squares algorithm with application to modeling parameters of ball mill load

Modified recursive partial least squares algorithm with appl...

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作者： Tang, Jian Zhao, Lijie Yu, Wen Chai, Tianyou Yue, Heng Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China College of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico Research Center of Automation Northeastern University Shenyang 110004 China

ISBN: (纸本)9789881725592

Recursive partial least squares (RPLS) regression is effectively used in process monitoring and modeling to deal with the stronger collinearity of the process variables and slow time-varying property of industrial processes. Aim at the RPLS cannot solve the modeling speed and the accuracy problems effectively, a modified sample-wise RPLS algorithm is proposed in this paper. It updates the PLS model according to the process status. We use the approximate linear dependence (ALD) condition to check each new sample. The model is reconstructed recursively such that the new samples satisfy the ALD condition. Experimental study on modeling parameters of ball mill load shows that the proposed modified RPLS algorithm is computationally faster, and the modeling accuracy is higher than conventional RPLS for the time-varying process. © 2011 Chinese Assoc of Automati.

关键词： Parameter estimation

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An on-board pan-tilt controller for ground target tracking systems

An on-board pan-tilt controller for ground target tracking s...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Zhekui Xin Yongchun Fang Bin Xian Beijing AeroSpace Automatic Control Institute China Institute of Robotics and Information Automatic System Nankai University Tianjin China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented control system.

关键词： Target tracking Cameras Helicopters Jacobian matrices Visualization Robot vision systems

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Output tracking of Markovian jumping systems via error feedback regulation

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IFAC Proceedings Volumes 2011年第1期44卷 2424-2429页

作者： Shuping He Zhengtao Ding Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 P. R.China Control Systems Centre School of Electrical and Electronic Engineering University of Manchester Manchester M60 1QD UK

Abstract This paper studies the output tracking problem of continuous-time Markovian jumping systems (MJSs) via error feedback scheme. With the extension of output regulation to MJSs, sufficient conditions are obtained based on stochastic Lyapunov-Krasovskii functional. The resulting closed-loop system is guaranteed to be stochastically stable and the output tracking is achieved almost asymptotically. Moreover, the output regulation error almost asymptotically converges to zero. In order to ensure the relaxed solutions of the regulation equations, we described the problem as a semi-definite optimization approach via disciplined convex programming. Simulation result is also given to illustrate the performance and effectiveness of the proposed approach.

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Novel variance-constrained filtering for uncertain systems subject to randomly varying sensor delay

Novel variance-constrained filtering for uncertain systems s...

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Chinese control and Decision Conference, CCDC

作者： Yijing Wang Zhiqiang Zuo Daniel W. C. Ho Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China Department of Mathematics City University of Hong Kong Kowloon Hong Kong China

In this paper, the problem of robust filtering for a class of uncertain discrete-time stochastic systems under randomly varying distributed sensor delay is reconsidered. A new and efficient method for robust filter design is introduced to achieve some performance requirements, that is, the error state of filtering process is mean square bounded and the steady-state variance of the estimation error for each state is less than the individual prescribed upper bound. Different from the previous method which involves a two-step design procedure with algebraic Riccati-like inequalities and linear constraint, it is shown that this problem can be directly converted to the feasibility of some linear matrix inequalities. Furthermore, the inequality used for handling the parameter uncertainty in the previous literature is no required which reduces the conservatism of the obtained results. An example is carried out to illustrate the effectiveness of the method and the improvement over the existing result in the literature.

关键词： Delay Steady-state Robustness Uncertain systems Linear matrix inequalities Symmetric matrices Mathematical model

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Experiment design for Pauli channel estimation

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IFAC Proceedings Volumes 2011年第1期44卷 4344-4349页

作者： Gábor Balló Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.

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Active Disturbance Rejection control simulation toolbox in open-source software Scilab/Xcos

Active Disturbance Rejection Control simulation toolbox in o...

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IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

作者： Lijun Wang Qing Li Chaonan Tong Yixin Yin Jiangyun Li Siyang Song School of Automation & Electrical Engineering Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing(USTB) Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781612844923

To satisfy high accuracy and speed requirement, a kind of Active Disturbance Rejection control (ADRC) solution is proposed according to the complexity of Monitor Finishing Automatic Width control (FAWC) system with large time-delay for hot strip mill. In order to improve the versatility of ADRC parameters, a unit gain was added in the loop. Based on the simplified model, the presented ADRC consists of linear functions which make it easier to realize. For applying ADRC algorithms conveniently and widely, the control system is implemented in Scilab/Xcos, which is one of an Open-source Software for Scientific Computation (OSSC) and is free of charge. According to the program of data exchanging between Xocs and Scilab, Xcos simulation can be carried out in batch processing in Scilab. The disturbances rejection and robustness of the proposed control method is verified by ADRC simulation toolbox in Scilab/Xcos.

关键词： Strips Monitoring Educational institutions Uncertainty Steel control systems Temperature measurement

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A multiscale slice model for continuous casting of steel

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IOP Conference Series: Materials Science and engineering 2012年第1期33卷

作者： B Šarler R Vertnik A Z Lorbiecka I Vušanović B Senčič Laboratory for Multiphase Processes University of Nova Gorica Vipavska 13 SI-5000 Nova Gorica Slovenia Centre of Excellence for Biosensorics Automation and Process Control Velika pot 22 Solkan Slovenia Štore Steel d.o.o Technical Developement Železarska 3 SI-3220 Štore Slovenia Faculty of Mechanical Engineering University of Montenegro George Washington st. 81000 Podgorica Montenegro

A simple Lagrange-an traveling slice model has been applied for the prediction of the relations between process parameters, macrosegregation and solidification grain structure formation (equiaxed to columnar and columnar to equiaxed transition) during the continuous casting process of steel billets. The main advantage of the slice model is its very fast calculation time in comparison with the complete 3D heat and fluid flow model which might need calculation time, measured in days. The slice models thus allows for fast optimisation and even for on-line simulation. The heat and species transfer models are based on the mixture continuum assumptions with Lever solidification rule and enhanced thermal and solutal diffusivities for heuristic accounting of fluid flow effects. The grain structure evolution model is based on the Gaussian nucleation rule, and KGT growth model, coupled to the macroscopic heat and species transfer models. The heat and species transfer models are solved by the meshless technique by using local collocation with radial basis functions. The grain structure evolution model is solved by the point automata technique, a novel meshless variant of the cellular automata method. A comparison of the results with the experimental data for steel grade 51CrV4 is shown in terms of macrosegregation and grain structure across the billet. Simulations and comparisons have been carried out for nominal casting conditions, reduced casting temperature, and reduced casting speed. The model predicts surprisingly well the qualitative features of the macrosegregation and grain structure patterns. Possible refinements of the model with respect to other physical mechanisms are discussed.

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