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American control Conference (ACC)

作者： Zhao Wang Zhiyuan Liu Run Pei Xiguang Ban Department of Control Science and Engineering Harbin Institute of Technology Harbin Heilongjiang China Dalian Naval Academy Dalian Liaoning China

ISBN: (纸本)0780378962

In the framework of moving horizon strategy, a robust estimation problem is formulated as a min-max problem subject to system dynamics and constraints on state and disturbance. In this paper two algorithms of the state estimation for the constrained linear system with an uncertain model are presented. First, we present an approximate recursive covariance matrix for the min-max problem with moving horizon N=1. Then a new recursive covariance matrix algorithm for the worst-case of the uncertain system is discussed and the covariance matrix is proved bounded for the unconstrained linear system. Simulation results show that the robust moving horizon estimation proposed in this paper is effective for constrained linear systems with uncertain model.

关键词： Linear systems State estimation Robustness Covariance matrix Robust control Nonlinear filters Signal processing algorithms Kalman filters Filtering algorithms Stability

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A Study on Robust Estimation via Moving Horizon Strategy

A Study on Robust Estimation via Moving Horizon Strategy

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International Conference on control and Automation (ICCA)

作者： Zhao Wang Zhiyuan Liu Xiguang Ban Run Pei Department of Control Science and Engineering Harbin Institute of Technology Harbin Heilongjiang China Dalian Naval Academy Dalian Liaoning China

This paper investigates a robust moving horizon estimation method for the constrained system with uncertain model. In the framework of moving horizon strategy, we formulated the robust estimation problem as a min-max problem subject to system dynamics and constraints on states and disturbances. In this paper an algorithm of the robust moving horizon estimation is developed and a recursive covariance matrix algorithm is presented. Moreover, for the unconstrained system, the algorithm stability is discussed. Simulation results show that the robust moving horizon estimation proposed in this paper is effective for constrained linear systems with uncertain model.

关键词： Robustness State estimation Recursive estimation Covariance matrix Stability Linear systems

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CIPS-based alcohol production process monitoring and optimal control systems

CIPS-based alcohol production process monitoring and optimal...

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IEEE Conference on control technology and Applications (CCTA)

作者： Sheng Qiang Tong Zhang X.Z. Gao Xianyi Zhuang Department of Control Science and Engineering Harbin Institute of Technology Harbin China Research Institute China Electronics Technology Group Corporation Harbin China Institute of Intelligent Power Electronics Helsinki University of Technology Espoo Finland

CIPS plays an important role in the field of continuous process automation. In this paper, the problem of process monitoring and control for alcohol production is first presented. A three-layer DCS is used for process measurement and monitoring, in which fuzzy logic-based PID controllers are utilized to fine-tune the key parameters. We also explore the optimal control strategy in both off-line and on-line optimization. The implementation details of these two proposed schemes under a CIPS information integration environment are further given.

关键词： Production systems Optimal control Automatic control Automation Process control Distributed control Condition monitoring Fuzzy control Fuzzy logic Three-term control

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New approaches to robust l2-l∞ and H∞ filtering for uncertain discrete-time systems

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Science in China(Series F) 2003年第5期46卷 355-370页

作者：高会军王常虹 Department of Control Science and Engineering Harbin Institute of Technology Harbin China 150001 Department of Control Science and Engineering Harbin Institute of Technology Harbin China 150001 The problems of robust I2-I∞and H∞filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞or H∞noise attenuation level can be obtained from the solution of convex optimization problems which can be solved via efficient interior point methods. Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than earlier results.

The problems of robust I2-I∞ and H∞ filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition, which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞ or H∞ noise attenuation level can be obtained from the solution of convex optimization problems, which can be solved via efficient interior point methods. Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than earlier results.

关键词： robust filtering state estimation linear matrix inequality convex optimization I2-I∞ performance H∞ performance.

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A wavelet-based method for the measuring particulate velocity by an active electrostatic sensor

A wavelet-based method for the measuring particulate velocit...

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IEEE Instrumentation and Measurement technology Conference

作者： Jian Qiu Zhang Ya Jun Guo Yi Shen Department of Electronic Engineering Fudan University Shanghai China Electric Power Engineering Department Engineering College Shanxi University Taiyuan China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780377052

In this paper, a wavelet-based method for measuring the particulate velocities in a duct via an electrostatic sensor is presented. The main motivation behind this paper is to avoid the problems which cross-correlation signal processing techniques exist, i.e. they are sensitive to the distortion of the output waveforms and the variance of the output pulse width from the detecting electrode of the sensor. Instead of cross-correlation techniques, the signal rising edges from the wavelet transforms of the signals of the electric charger and the detecting electrode of the sensor are used to determine the particulate velocity in the duct. As a consequence, the proposed method is robust to the distortion of the output waveforms and the variance of the output pulse width so that it is specifically suitable for measuring the particulate velocity with the spread of velocities within a conveyor. Experimental results confirm the effectiveness of the proposed method and show that the new method can achieve a better result than of the cross correlation techniques.

关键词： Electrostatic measurements Velocity measurement Particle measurements Distortion measurement Ducts Space vector pulse width modulation Electrodes Pulse measurements Signal processing Wavelet transforms

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Numerical simulation of mold filling during centrifugal casting of TiAl alloy exhaust valve

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International Journal of Cast Metals Research 2003年第3期15卷 137-141页

作者： Shiping Wu Jingjie Guo Yangqing Su Jun Jiaf Shigetomo Nunomura School of Materials Science and Engineering Harbin Institute of Technology. Harbin 150006 P.R. China School of Materials Science and Engineering Harbin University of Science and Technology. Harbin 150080 P.R. China School of Materials Science and Engineering Harbin Institute of Technology. Harbin 150006 P.R. China School of Materials Science and Engineering Harbin Institute of Technology. Harbin 150006 P.R. China School of Materials Science and Engineering Harbin Institute of Technology. Harbin 150006 P.R. China Department of Mechanical and Control Engineering Niigata Institute of Technology Kashiwazaki 945-1195 Japan

In this paper, the numerical simulation of the mold filling process for TiAl alloys exhaust valve castings was performed. The relationship between melt cross-section area during mold filling, free surface inclined angle and mold filling distance was derived. Based on the analysis of the force exerted on the liquid during centrifugal casting and the Navier-Stokes equation of liquid flow and the equation of continuity, a numerical simulation model for the mold filling process of centrifugal casting of TiAl alloy exhaust valves was developed. A mold filling experiment of centrifugal casting was carried out using paraffin as the simulation fluid. The actual data of melt cross-section area and free surface inclined angles of fluid at different rotation speed were obtained. The comparison shows that the results of simulation agree with those of experiments.

关键词： TiAl alloy exhaust valve castings centrifugal casting mold filling numerical simulation

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Robust filtering by fictitious noises

Robust filtering by fictitious noises

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IEEE Conference on Decision and control

作者： Huanshui Zhang D. Zhang Wei Wang Lihua Xie Shenzhen Graduate School of Harbin Institute of Technoloy Shenzhen China The Center for Information and Control Dalian University of Technology Dalian China Department of Computing Hong Kong Polytechnic University Hong Kong China BLK S2 School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)0780379241

In this paper, a new approach is presented for robust filtering of a linear discrete-time signal by applying fictitious noise. Modeling errors, in both the numerator and denominator of the transfer functions, are parameterized by using random variables with zero mean and known covariance. The robust performance is obtained by minimizing the mean square estimation error over all of the random parameter and noise. To derive a robust estimator, the uncertainties in the model are incorporated into two mutually uncorrelated fictitious noises with zero means. The covariances of the fictitious noises are computed by using two formulas that are presented in this paper. An illustrative example shows the effectiveness of our approach.

关键词： Noise robustness Uncertainty Polynomials Transfer functions Stochastic resonance Technological innovation Mean square error methods Robust control Information filtering Information filters

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Progressive watermarking techniques with genetic algorithms

Progressive watermarking techniques with genetic algorithms

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International Carnahan Conference on Security technology

作者： H.-C. Huang J.-S. Pan C.-S. Shieh F.-H. Wang Dept. of Electronics Engineering National Chiao Tung University Hsinchu Taiwan R.O.C. Department of Automatic Test and Control Harbin Institute of Technology Harbin P.R.C. Dept. Electronic Eng. Nat'1 Kaohsiung Univ. of Applied Sciences Kaohsiung Taiwan R.O.C. School of Electrical and Information Eng. University of South Australia Adelaide Australia

An innovative watermarking scheme based on progressive transmission with genetic algorithms (GA) is proposed. We implement the watermarking embedding and extraction system in the discrete cosine transform (DCT) domain, and apply the JPEG spectral selection mode for progressive transmission. By employing GA with a proper fitness function into the watermarking system, both the watermark imperceptibility and watermark robustness requirements are considered and optimized. In addition, the embedded watermark can be partly extracted in the receiver side even when the watermarked image is being transmitted. Simulation results show both the robustness and the effectiveness of progressive transmission under different attacking schemes and different bandwidth variations.

关键词： Watermarking Genetic algorithms Frequency Robustness PSNR Discrete cosine transforms Image restoration Signal resolution Low pass filters Filtering

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Star-sensor-based predictive Kalman filter for satellite attitude estimation

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Science in China(Series F) 2002年第3期45卷 189-195页

作者：林玉荣邓正隆 Department of Control Science and Engineering Harbin Institute of Technology Harbin China

A real-time attitude estimation algorithm, namely the predictive Kalman filter, is presented . This algorithm can accurately estimate the three-axis attitude of a satellite using only star sensor measurements. The implementation of the filter includes two steps: first, predicting the torque modeling error, and then estimating the attitude. Simulation results indicate that the predictive Kalman filter provides robust performance in the presence of both significant errors in the assumed model and in the initial conditions.

关键词： model error predictive estimation extended Kalman filter (EKF) attitude estimation.

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Adaptive information sharing factors in federated Kalman filtering 15th

Adaptive information sharing factors in federated Kalman fil...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Zhang, Hongwei Lennox, Barry Goulding, Peter R. Wang, Yufei Control Engineering Research Group School of Engineering University of Manchester ManchesterM13 9PL United Kingdom Control Engineering Department Harbin Institute of Technology Harbin China

ISBN: (纸本)9783902661746

This paper presents an adaptive determination method of the information sharing factors employed in the federated Kalman filtering algorithm. This approach is based on generalised eigenvalue decomposition of the covariance matrix of the estimated errors associated with individual sensors. The paper begins with a discussion of the structural features and information sharing principle of the Federated Kalman filtering approach. Following development of the new method, simulation results demonstrate its capability to provide a considerable improvement in robustness to changing plant conditions, at the cost of a minimal loss in accuracy under ideal plant behaviour. Copyright © 2002 IFAC.

关键词： Information filtering

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