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9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008

作者： Kovács, Adalbert Kovács, Levente Department of Mathematics University Politehnica of Timisoara RO-300006 Timisoara P-ta Victoriei Nr. 2 Romania Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt. 2 H-1117 Budapest Hungary

Based on the results of [3] and [4] the current paper presents a general method which can be applied for any approximation type of the hodographic method to study the compressible fluid's permanent and subsonic flux through profiles' networks. Based on the defined mathematical model an analytical method is searched by using the linear approximation of the compressible fluid's characteristic curve and the special network's turbine profile. To be able to analyze on all the three hodographic methods the flux of the compressible fluid through the special network the method of C. C. Lin (1949) was generalized. The method can be used even if the elements of the special's network are not turbine profiles, but the obstacles are satisfying the requirements of a geometrically and phisically periodic system.

关键词： Hydrodynamics

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Subspace identification methods and fMRI analysis

Subspace identification methods and fMRI analysis

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jana Tauchmanova Martin Hromcik Department of Control Engineering Faculty of Electrical Engineering Institute of Information Theory and Automation Czech Technical University Prague Czech Republic Center for Applied Cybernetics Faculty of Electrical Engineering Institute of Information Theory and Automation Czech Technical University Prague Czech Republic

The main goal of this paper is to propose application of modern multidimensional systems identification algorithms of the subspace identification theory in the context of fMRI data analysis. The methods originated in 1990s in the field of process control and identification and yield robust linear model parameter estimates for systems with many inputs, outputs and states. Our ultimate goal is to establish an alternative to the DCM analysis procedure which would eliminate its main drawbacks, namely the need to pre-define the models structure. The paper discusses results based on simulated data provided by the DCM simulator in the SPM toolbox. Several scenarios are presented, with varying amount of noise and number of data samples.

关键词： Data models Functional magnetic resonance imaging Brain modeling Signal to noise ratio Analytical models Mathematical model Process control

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Homotopy solution of GPS - N point navigation problem

Homotopy solution of GPS - N point navigation problem

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9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008

作者： Paláncz, Béla Zaletnyik, Piroska Kovács, Levente Department of Photogrammetry and Geoinformatics Faculty of Civil Engineering Budapest University of Technology and Economics Muegyetem Rkp. 3 1111 Budapest Hungary Department of Geodesy and Surveying Research Group of Physical Geodesy and Geodynamics of Hungarian Academy of Sciences Budapest University of Technology and Economics 1521 Budapest Hungary Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar Tudósok Krt. 2 H-1117 Budapest Hungary

Linear homotopy solution is given for GPS N-point navigation problem. The overdetermined polynomial system has been solved without initial guessed value using natural start system resulting real solutions.

关键词： Global positioning system

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Single-phase optimal Odd PWM problem

Single-phase optimal Odd PWM problem

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Annual Conference of Industrial Electronics Society

作者： Petr Kujan Martin Hromcik Michael Sebek Department of Control Engineering FEEInstitute of Information Theory and Automation of the ASCR Czech Technical University of Prague Center for Applied Cybernetics Faculty of Electrical Engineering Czech Technical University of Prague Department of Control Engineering Faculty of Electrical Engineering Czech Technical University of Prague

Optimal pulse width modulation (PWM) problem is an established method of generating PWM waveforms with low baseband distortion. In this paper we focused on computation of optimal switching angles of a odd PWM waveform for generating general odd symmetric waveforms. We introduce an exact and fast algorithm with the complexity of only O(n log 2 n) arithmetic operations. This algorithm is based on transformation of appropriate trigonometric equations for each harmonics to a polynomial system of equations that is transferred to a special system of sum of powers. The solution of this system is carried out by modification of Newtonpsilas identity via Pade approximation and orthogonal polynomials theory and property of symmetric polynomials. Finally, the optimal switching sequence is obtained by computing the zeros of two orthogonal polynomials in one variable.

关键词： Pulse width modulation Polynomials Baseband Equations Power harmonic filters Chebyshev approximation control engineering Space vector pulse width modulation Pulse generation Pulse width modulation inverters

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Real-Time Level Plant control Using Improved BELBIC

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IFAC Proceedings Volumes 2008年第2期41卷 4631-4635页

作者： M. Masoudinejad R. Khorsandi A. Fatehi C. Lucas S. Fakhimi Derakhshan M.R. Jamali Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Center of Excellence for Control and Intelligent Processing Electrical and Computer engineering Department University of Tehran Iran

Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).

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Cement rotary kiln control: A supervised adaptive model predictive approach

Cement rotary kiln control: A supervised adaptive model pred...

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IEEE India Conference (INDICON)

作者： Javaneh Ziatabari Alireza Fatehi Mohamad T. H. Beheshti Department of Electrical Engineering University of Trabiat Modares Tehran Iran Advanced Process Automation and Control (APAC) research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scenario is to expect the controller to regulate the temperature and the period of baking a fixed quantity of raw material as desired, as well as to have the concentration of the combustion gases under control. To achieve these goals, this work presents a strategy which includes multivariable online identification of the kiln process and a constrained generalized predictive controller. An MLP neural network model derived from real plant data of Saveh cement factory in Iran is used as the kiln process simulator. The control efforts are made taken into account the operating constraints. At last the proposed control strategy is modified so as to gain good disturbance rejection ability.

关键词： Kilns Programmable control Adaptive control Predictive models Temperature control Process control Cement industry Prediction algorithms Raw materials Combustion

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A novel design of flexible foot system for humanoid robot

A novel design of flexible foot system for humanoid robot

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2008 IEEE International Conference on Robotics, automation and Mechatronics, RAM 2008

作者： Yang, Hongqiao Shuai, Mei Zhen, Q.I.U. Hui, W.E.I. Zheng, Qi Information Center Second Affiliated Hospital of PLA General Hospital Beijing P. R China Department of Mechatronics Engineering Beihang University Beijing P. R China Department of Biomedical Engineering University of California Davis Davis CA United States Department of Measuring and Control Technology and Instrument Beihang University Beijing P. R China School of Automation Science and Electrical Engineering Beihang University Beijing P. R China

ISBN: (纸本)9781424416769

The Large-scale uneven ground is mostly unsmooth and in the irregular state in which the irregularity is usually unknown (such as footway, carriageway, unexplored desert, mountainous area, surface of the Mars). In order to walk steadily and rapidly on such ground, a chief problem to overcome is that the humanoid robot's foot is not matching with the unknown model of the ground. Therefore, the humanoid robot's foot should have the flexibility mimic the human's foot, and can adapt to and steadily interacted with any unsmooth ground. Also interferences and disjoints between soles and irregular unsmooth ground should be avoided. Aiming at solving the key problem for humanoid robot to steadily and rapidly walk on the large-scale and three- dimension uneven ground, we've set up a new multi-degree-of-freedom flexible foot mechanism which can make the humanoid robot's walking gesture and gait automatically adapt to the terrain, and then carry out the research of the globally stable control of the gait. The flexibility can obviously improve the humanoid robot's walking stability and speediness on the large-scale uneven ground. © 2008 IEEE.

关键词： Anthropomorphic robots

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SLL: Relations to Kohonen SOMs

SLL: Relations to Kohonen SOMs

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IEEE Symposium on Position Location and Navigation (PLANS)

作者： Bruno Betoni Parodi Andrei Szabo Henning Lenz Joachim Bamberger Joachim Horn Corporate Technology Information and Communications Siemens AG Munich Germany Automation and Drives Advanced Technologies and Standards Process Automation Siemens AG Karlsruhe Germany Department of Electrical Engineering Institute for Control Engineering University of the Federal Armed Forces Hamburg Hamburg Germany

The simultaneous localization and learning (SLL) is an indoor localization technique based on existent radio communication networks. It originally takes received signal strength (RSS) as measured feature, used as input on an adaptive and iterative process based on Kohonen self organizing maps (SOMs) in order to learn and improve a feature map. The present paper points the main characteristics from both SLL and SOM, their differences and similarities. The somewhat generic formulation for SOMs acquire physical meanings with SLL that act as a constrainment, making the SLL a very particular case of SOM. The proofs for one dimensional SOMs are complemented by the proofs presented for the SLL by the authors in previous articles.

关键词： Calibration Position measurement Time measurement Iterative algorithms automation Self organizing feature maps Costs Communications technology control engineering Radio communication

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Model-based nonlinear optimal blood glucose control of Type I diabetes patients

Model-based nonlinear optimal blood glucose control of Type ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Levente Kovacs Balazs Kulcsar Jozsef Bokor Zoltan Benyo Department of Control Engineering and Information Technology Budapest University슠of슠Technology슠and슠Economics Hungary Delft Center for System and Control Faculty of Mechanical Maritime and Materials Engineering Technical University Delft Netherlands Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

Using induced L 2 -norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensen-model. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.

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First Experience of the control System of HVAC Based on KNX Fieldbus Applied in Intelligent Buildings Laboratory

First Experience of the Control System of HVAC Based on KNX ...

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The First International Conference on Building Energy and Environment

作者： Martin Zalesak Petr Polach Tomas Bata University in Zlín Faculty of Applied InformaticsDepartment of Automation and Control EngineeringNad Stráněmi 4511 760 05 ZlínCzech Republic Brno University of Technology Faculty of Electrical Engineering and CommunicationDepartment of Control and InstrumentationKolejní 4612 00 BrnoCzech Republic

A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied Informatics and set into test operation. The laboratory supports several subjects like modern HVAC system applications, with renewable sources of energy implemented (solar collectors and reversible heat pump application), and a comprehensive system of control, based on the open bus communication system KNX , communication gate based on the TCP/IP protocol. The laboratory is as well equipped as a training tool for control systems based on bus communication particularly KNX (finished) and LONWORKS and BACNET (under construction). The paper describes the first results achieved by the laboratory.

关键词： Intelligent buildings, Building automation, System integration, Laboratory, Thermal modeling

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