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Novel area measurement approach based on dynamic contour

Zhongguo Jiguang/Chinese Journal of Lasers 2005年第11期32卷 1543-1548页

作者： Zhao, Peng Pu, Zhao-Bang Zhang, Tian-Wen Department of Automation Measurement and Control Harbin Institute of Technology Harbin 150001 China Department of Computer Science and Engineering Harbin Institute of Technology Harbin 150001 China

A novel approach to an objects surface area measurement is proposed. It is suitable for area computation of an object with smooth and irregular edges. This approach consists of 4 steps. Firstly, a photoelectric image collimation system is applied to obtain a target image of a detected object. Secondly, a dynamic contour converges to the target contour edge from an initial position via feature search and iteration algorithm. Thirdly, two formulas for the area and centroid computation of a closed B-spline curve are applied to compute the image target s area and centroid exactly. Finally, a novel centroid-self-calibration technology is applied. It measures the pixel's size equivalence with the computed centroid and two-frequency laser to measure the true object s surface area exactly. Experiments indicate that this approach's average error can decrease to ± 0.5%. Compared to conventional area measurement approaches, this approach is robust for area computation in a background image with noises or for a target with many internal complicated edges.

关键词： Spatial variables measurement

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Hierarchical modelling in biology: Systematic building of limb models

Hierarchical modelling in biology: Systematic building of li...

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作者： Fazekas, C.S. Kozmann, G.Y. Hangos, K.M. Department of Information Systems University of Veszprém Veszprém Hungary Research Institute for Technical Physics and Materials Sciences Department of Biomedical Engineering Budapest Hungary Computer and Automation Research Institute Systems and Control Laboratory Budapest Hungary

ISBN: (纸本)008045108X

A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed. Copyright © 2005 IFAC.

关键词： Hierarchical systems

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Improved genetic algorithm for integrated steelmaking optimum charge plan

Improved genetic algorithm for integrated steelmaking optimu...

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作者： Xue, Yun-Can Wang, Xin Li, Shao-Yuan College of Computer and Information Engineering Hohai University Changzhou China Institute of Information and Control Technology Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai China Institute of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)008045108X

The shortcoming of the standard genetic algorithm is analysed. an improved genetic algorithm with modified mutation operator and adaptive probabilities of crossover and mutation is proposed. Simulation experiments have been carried and the results show that the modifications are very effective. in this paper, an optimum charge plan for steelmaking continuous casting production scheduling is also studied. The charge plan model is established. The modified genetic algorithm is used to solve the optimum charge plan problem. The computation with practical data shows that the model and the modified genetic algorithm are very effective. Copyright © 2005 IFAC.

关键词： Genetic algorithms

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Methods of computational intelligence to give qualitative and quantitative statements of gas concentrations at a high temperature sensor

Methods of computational intelligence to give qualitative an...

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HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

作者： Bauersfeld, Norman Kramer, Klaus-Dietrich Patzwahl, Steffen Harz University of Applied Studies and Research Friedrichstr. 57-59 D-38855 Wernigerode Germany Institute for Automation Control Computer Science Inc. Dornbergsweg 2 D-38855 Wernigerode Germany

ISBN: (纸本)0769524575

This paper describes property evaluation and clustering of sensor data that depends on different gas types and their concentrations. The application subject is to find gas specific information by a multidimensional feature set to give qualitative and quantitative statements. This is investigated by different clustering methods, the fuzzy-c-means algorithm and its derivatives and neural networks. The resulting patterns will be deployed as recognition field for gas detection, that takes recalibration mechanisms into consideration.

关键词： Artificial intelligence

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AN APPROACH FOR DESIGNING REAL-TIME EMBEDDED SYSTEMS FROM RT-UML SPECIFICATIONS

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IFAC Proceedings Volumes 2005年第1期38卷 117-122页

作者： M.A. Wehrmeister L.B. Becker C.E. Pereira Computer Science Institute UFRGS Brazil Automation and Control Systems Department UFSC Brazil Electrical Engineering Department UFRGS Brazil

The current work presents an API based on the Real-Time Specification for Java (RTSJ) that optimizes real-time embedded systems development. Using this API it is possible to state non-functional specifications, like time constraints, and guarantee its implementation in the selected platform. Moreover, it discusses how real-time requirements derived from the RT-UML standard can be mapped to the elements from the proposed API. An integrated toolset is used to support the intermediate steps of this mapping process. The paper illustrates the mapping mechanism by means of a case study that implements the control system of an automated wheelchair.

关键词： embedded systems design real-time programming support

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Prediction Based Combined control to Prevent the Rollover of Heavy Vehicles

Prediction Based Combined Control to Prevent the Rollover of...

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IEEE International Symposium on Intelligent control (ISIC)

作者： P. Gaspar Z. Szabo J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper a combined control structure to decrease the rollover risk of heavy vehicles is developed. In this structure active anti-roll bars are combined with an active brake control. To enhance the performance of the active brake, this mechanism is extended with a prediction procedure, in which the critical values are predicted in advance using a short time interval. In order to predict an imminent rollover, an observer-based prediction algorithm is proposed to estimate in advance the load transfers. The control design is based on the linear parameter varying model of yaw-roll dynamics of heavy vehicles. In the control design both the performance demands and the model uncertainties are taken into consideration. The control mechanism is demonstrated in a double lane change maneuver

关键词： control systems Bars control design Vehicle dynamics Uncertainty Stability Suspensions Gravity Automatic control Prediction algorithms

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Reference Tracking for Wiener Systems Using Dynamic Inversion

Reference Tracking for Wiener Systems Using Dynamic Inversio...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Z. Szabo P. Gaspar J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

This paper investigates the problem of reference tracking for systems defined by a Wiener model. The proposed method does not suppose that the full state vector is measured and it is based on a dynamic inversion approach with error feedback. It is assumed however, that the inverse of the nonlinear part can be constructed. As an example a tracking control of a pressurizer is also provided

关键词： Pressure control Nonlinear control systems computer errors Nonlinear dynamical systems Vehicle dynamics State feedback Fading Time invariant systems Nonlinear systems Electrical equipment industry

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Gray-Box Continuous-Time Parameter Identification for Lpv Models with Vehicle Dynamics Applications

Gray-Box Continuous-Time Parameter Identification for Lpv Mo...

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IEEE International Symposium on Intelligent control (ISIC)

作者： P. Gaspar Z. Szabo J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper a gray-box identification method is investigated for linear parameter varying (LPV) continuous-time systems. An algorithm is given to analyze the parameter identifiability problem. Since the initial conditions are not assumed to be known, an observer based identification scheme is proposed. This is an identification method with two steps. In the first step a Luenberger type observer is designed, and in the second step a parameter estimation for the observer system is performed. The role of an observer based identification scheme in the elimination of the effects caused by the unknown initial conditions is highlighted. The importance of the selection of sampling time is also shown. The method is demonstrated through an estimation of the features of the gravity center of heavy vehicles

关键词： Parameter estimation Vehicle dynamics Sampling methods Least squares methods Algorithm design and analysis Gravity Vehicles Nonlinear systems Processor scheduling Transfer functions

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Uncertainty Identification for a Nominal LPV Vehicle Model Based on Experimental Data

Uncertainty Identification for a Nominal LPV Vehicle Model B...

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IEEE Conference on Decision and control

作者： G. Rodonyi J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper a practical method is presented for modelling uncertainty of a nominal linear parameter-varying (LPV) vehicle model. The aim with the uncertainty model is to bound the nominal model-error and satisfy robust stability and performance objectives during robust control design. Existing frequency-domain model-validation methods are applied to perform the first aim. The linear fractional uncertainty structure and the distribution of nominal model-error among the uncertainty blocks and disturbances are chosen to perform the second aim. The paper is motivated by the problem of steering a vehicle by alternately braking the front wheels in emergency situations. The identification is performed on real experiment data. The method and the results are demonstrated on a yaw-rate tracking problem and μ-controller design on constant scheduling variable of the LPV model. Using the proposed algorithm, on the supposition that nominal model error remains below the bound estimated from the validation data set, an unfalsified model is constructed for robust control guaranteeing robust performance against worstcase uncertainty and disturbance.

关键词： Uncertainty Robust control Adaptive control Frequency Intelligent vehicles Working environment noise Robust stability Wheels Error correction Centralized control

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The Design of an Integrated control System in Heavy Vehicles Based on an LPV Method

The Design of an Integrated Control System in Heavy Vehicles...

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IEEE Conference on Decision and control

作者： P. Gaspar Z. Szabo J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper an integrated control structure with individual active control mechanisms, i.e. active anti-roll bars, active suspensions, and an active brake mechanism, is proposed. Its purpose is to improve rollover prevention, passenger comfort, road holding and guarantee the suspension working space. In the control design the performance specifications both for rollover and suspension problems, and the model uncertainties are taken into consideration. In the weighting strategy of control design fault information is also taken into consideration. The design of the control system is based on an H ∞ Linear Parameter Varying (LPV) method. To enhance the performance of the controlled system, the control mechanism is extended with a prediction procedure, in which an observer-based prediction algorithm is proposed.

关键词： Centralized control Suspensions Bars control systems Fault detection Roads control design Filters Vehicle dynamics Uncertainty

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