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A REAL TIME SOLUTION TO control DISASSEMBLY PROCESSES

IFAC Proceedings Volumes 2007年第18期40卷 789-794页

作者： L. Duta J.M. Henrioud I. Caciula Computer Science Department Valahia State University 18-24 UniriiAv. Targoviste ROMANIA Fax: +40 (0) 245 21 76 83 E-mail: duta@valahia.ro Automation Laboratory Institute of Production Engineering 25 Alain Savary Besangon FRANCE E-mail: henrioud@ens2m.fr Control Engineering Student Valahia State University 18-24 UniriiAv. Targoviste ROMANIA E-mail: viorel2004_ro@***

Disassembly of manufactured products induces both disassembly costs and revenues from the parts saved by the process. At the planning stage a good trade-off has to be found between the costs of disassembly and the final profit. At the control stage it is important to assure an optimal balance of the line as well as the complete disassembly processing during the rest of the working time. A real time control method based on modeling of disassembly by the precedence graph and on a stochastic algorithm is presented in this article.

关键词： production control real time systems decision making stochastic programming

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Comparison of seven approaches for holter ECG clustering and classification

Comparison of seven approaches for holter ECG clustering and...

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29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.10

作者： Vaclav Chudacek Milan Petrik George Georgoulas Miroslav Cepek Lenka Lhotska Chrysostomos Stylios Gerstner laboratory at Department of Cybernetics Czech Technical University Czech Republic Czech Republic Department of Cybernetics Center for Machine Perception Czech Technical University Czech Republic Intelligent Control Systems Laboratory Georgia Technology Research Institute Atlanta USA Czech Republic Department of Computer Science and Engineering Neural Computing Group Czech Technical University Czech Republic Czech Republic Department of Cybernetics Gerstner Laboratory Czech Technical University Czech Republic Department of Informatics and Communications Technology TEI Epirus Artas Greece

In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N' beats and premature ventricular 'V' beats. Some of the tested methods represent the state of the art in pattern analysis, while others are novel algorithms developed by us. All the algorithms were tested on the same datasets, namely the MIT-BIH and the AHA databases. The results for all the employed methods are compared and evaluated using the measures of sensitivity and specificity.

关键词： Electrocardiography Testing Decision trees Laboratories Cybernetics Sensitivity and specificity Heart rate variability Clustering algorithms Spatial databases Computational complexity

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Robust model predictive control of a nuclear power plant pressurizer subsystem

Robust model predictive control of a nuclear power plant pre...

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25th IASTED International Conference on Modelling, Identification, and control, MIC 2006

作者： Péni, T. Varga, I. Szederkényi, G. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute HAS P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)0889865515

Robust model predictive control of an industrial pressurizer is presented in this paper. The physical model of the pressurizer is based on first engineering principles and the model parameters have been previously identified from measured data. To satisfy the hard constraints on the state variables and the input even in the presence of disturbances, the so-called single policy robust model predictive control method is applied. The maximal admissible level set, the disturbance invariant set and the terminal sets are determined for the system. Simulation results show that the proposed controller satisfies all the requirements and shows good time-domain behavior.

关键词： Nuclear power plants

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Cognitive informatics based DIND for corner and crossing detection in intelligent space

Cognitive informatics based DIND for corner and crossing det...

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2006 SICE-ICASE International Joint Conference

作者： Reskó, Barna Róka, András Csapó, Ádám Baranyi, Péter Hashimoto, Hideki Institute of Industrial Sciences University of Tokyo Japan Computer and Automation Research Institute Hungarian Academy of Sciences Hungary Integrated Intelligent Systems Japanese-Hungarian Laboratory Hungary

ISBN: (纸本)8995003855

Intelligent Space is a space of distributed sensory intelligence and actuators. The basic component of Intelligent Space is the Distributed Intelligent Network Device (DIND), responsible for intelligent sensing and estimation. It is important for Intelligent Space to be aware of state of its internal environment, such as the class and position of objects it contains. The ability of object recognition is thus necessary in Intelligent Space. Existing cognitive computational systems like the mammalian cortex perform extremely well when it comes to visual object recognition. Psychological experiments have shown that image features such as edges and especially corners are of great importance in cognitive object recognition. Inspired by cognitive recognition systems, the proposed cognitive informatics model addresses the problem of vertex and corner detection. The model integrates the previously developed Visual Feature Array (VFA), which is a cognitive model of oriented edge detection. The ultimate goal of the presented model is to provide suitable input for a cognitive object recognition system. © 2006 ICASE.

关键词： Intelligent networks

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A joint structured complex uncertainty identification and ε-synthesis algorithm

A joint structured complex uncertainty identification and ε...

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IEEE International Conference on computer-Aided Design

作者： Gabor Rodonyi Jozsef Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

A joint uncertainty model identification and mu-synthesis algorithm is presented for linear time-invariant (LTI) systems. The goal is 1) to construct an uncertainty model set characterized by parameterized weighting functions of dynamic perturbations in the general linear fractional transformation (LFT) form and additive disturbances - customary representation in modern robust control and 2) to select from this set according to closed-loop control objectives. The motivation is to avoid conservatism of physics-based uncertainty modelling yet giving confidence in the model. The algorithm works on sampled, bounded-energy experimental data on the frequency-domain and integrates model invalidation/construction and control synthesis in order to achieve robust performance. Standard D-K iteration steps are combined with an optimization step on a group of selected data. The efficiency and applicability of the method is demonstrated on a vehicle control problem with real experimental data

关键词： Uncertainty Robust control Vehicle dynamics Intelligent vehicles Automatic control control system synthesis Frequency synthesizers Terminology Linear systems control systems

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Nonlinear identification of a PEM fuel cell humidifier using wavelet networks

Nonlinear identification of a PEM fuel cell humidifier using...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Deng, Xian-Rui Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China Computer Department Tangshan Teacher's College Tangshan China

ISBN: (纸本)3540344829

Humidification is a key factor influencing the performance of a Proton Exchange Membrane (PEM) Fuel Cell system. It is important to obtain an accurate temperature model of the humidifier to achieve the optimal humidity by means of some control strategy. Analysis shows that humidification process is nonlinear. To avoid the curse-of-dimensionality problem, a class of wavelet networks proposed by Billings was employed for the identification in this work. An efficient model term selection approach was applied to solve the high dimensional problem. The model was identified based on the experimental data acquired from our test bench. The one-step-ahead predictions and the five-stepahead predictions were compared with the real measurements respectively. It shows that the identified model can effectively describe the real system. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Fuel cells

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Dynamics and Stable control for a Class of Underactuated Mechanical systems

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自动化学报 2006年第3期32卷 422-427页

作者： LIU Dian-Tong GUO Wei-Ping YI Jian-Qiang Institute of Computer Science and Technology Yantai University Yantai 264005 Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080

The control of underactuated mechanical systems is very complex for the loss of its control inputs. The model of underactuated mechanical systems in a potential field is built with Lagrangian method and its structural properties are analyzed in detail. A stable control approach is proposed for the class of underactuated mechanical systems. This approach is applied to an underactuated double-pendulum-type overhead crane and the simulation results illustrate the correctness of dynamics analysis and validity of the proposed control algorithm.

关键词：动态系统稳定性控制机械系统起重机

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Robust Model Predictive control for controlling Fast Vehicle Dynamics

Robust Model Predictive Control for Controlling Fast Vehicle...

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Mediterranean Conference on control and automation (MED)

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

This paper proposes a simple robust model predictive algorithm for discrete time uncertain systems having relatively fast dynamics, i.e. the time required to compute the next control action is the multiple of the sampling time. The method is based on the following concept: at time k the set of all possible k+N-th states is determined, and in the next N time steps an appropriate feedback gain is constructed, which is capable of robustly stabilizing the system from time k+N. At time k+N the procedure is then repeated. The method was derived from the robust MPC algorithm proposed by Kothare et al.,(1996)

关键词： Robust control Predictive models Predictive control Vehicle dynamics Sampling methods Robustness Optimal control Prediction algorithms Linear feedback control systems Remotely operated vehicles

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Integrated uncertainty model identification and robust control synthesis for linear time-invariant systems

Integrated uncertainty model identification and robust contr...

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Mediterranean Conference on control and automation (MED)

作者： Gabor Rodonyi Jozsef Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Given a nominal model, an integrated uncertainty model identification and mu-synthesis algorithm is presented for linear time-invariant (LTI) systems. The goal is 1) to construct an uncertainty model set characterized by parameterized weighting functions of dynamic perturbations and disturbances in the general linear fractional transformation (LFT) form - customary representation in modern robust control and 2) to select from this set according to closed-loop control objectives. The motivation is the simultaneous model validation and model optimization with respect to closed-loop requirements. The algorithm works on sampled, bounded-energy experimental data on the frequency-domain and integrates nominal model invalidation, uncertainty model construction and control synthesis in order to achieve robust performance. Standard D-K iteration steps are combined with an optimization step on a group of selected data. The method is demonstrated on a simple numerical example, where the results are comparable with analytic computations

关键词： Uncertainty Robust control control system synthesis control design control systems Automatic control Frequency domain analysis Process design Laboratories automation

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Robust Detection and Estimation of Faults by Exact Fault Decoupling and H /spl infin/ Disturbance Attenuation in Linear Dynamical systems.

Robust Detection and Estimation of Faults by Exact Fault Dec...

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American control Conference (ACC)

作者： A. Edelmayer J. Bokor Z. Szabo Systems and Control Laboratory and Automation Research Institute of the Hungarian Academy of Sciences Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

In this paper a useful combination of the idea of inversion-based direct input (fault) reconstruction and H infin optimal filtering for robust estimation, detection and separation of multiple simultaneous faults in the presence of persistent, non-decouplable disturbances in linear dynamical systems is presented. In particular, it is shown how in a specific filtering structure, relying on the inverse representation of the system, an H infin detection filter can be designed providing detection residuals by exact fault decoupling where the estimation of the inverse dynamics is obtained by means of the optimal filter thus ensuring H infin disturbance attenuation on the residual output. The applicability of the method is demonstrated based on the aircraft monitoring problem that was originally considered in the papers by Douglas and Speyer (1995) and Chung and Speyer (1998)

关键词： Robustness Fault detection Attenuation Filtering State-space methods Nonlinear filters Design methodology Nonlinear dynamical systems control systems Aircraft

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