Integrated Modeling and Identification of Vehicle Dynamic Systems  Page description

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Details of project

  
Identifier
42826
Type K
Principal investigator Várlaki, Péter
Title in Hungarian Járműdinamikai rendszerek integrált fuzzy-sztochasztikus modellezése és identifikációja
Title in English Integrated Modeling and Identification of Vehicle Dynamic Systems
Panel Engineering, Metallurgy, Architecture and Transport Sciences
Department or equivalent Department of Mathematics and Computational Sciences (Széchenyi István University)
Participants Harmati, István
Molnárka, Győző
Muresan, Leila
Nándori, Ernő
Starting date 2003-01-01
Closing date 2007-12-31
Funding (in million HUF) 8.808
FTE (full time equivalent) 0.00
state closed project





 

Final report

  
Results in Hungarian
A kutatómunka a lineáris és a nemlineáris járműdinamikai rendszerek a bizonytalansági tényezőket is figyelembe vevő új típusú modellezési eljárásainak és rendszeridentifikációs algoritmusainak kidolgozásával foglalkozik. A járműdinamikai modellezés metodológiai megközelítése a hagyományos statisztikai rendszeridentifikációs módszerek mellett alkalmazza a különböző lágy számítástudományi megközelítési módokat, így többek között felhasználja a fuzzy logika, fuzzy irányítástechnika algoritmusait, a neurális és fuzzy-neurális hálózatokat, továbbá a szinguláris értékdekompozíció (SVD) módszereit, kapcsolatot teremtve az LPV rendszereken értelmezett Takagi-Sugeno típusú fuzzy irányítási algoritmusok és a magasabb rendű szinguláris érték dekompozíció között. A nemlineáris járműdinamikai rendszerek komplex modellezésénél foglalkozunk a hatékony komplexitás csökkentő technikák kidolgozásával is, fuzzy interpolációs eljárások alkalmazásával, ahol a tömeges adatfeldolgozást multiprocesszoros számítások segítségével végezzük el. A lineáris járműdinamikai modellezés során összehasonlítjuk a szabályalapú fuzzy irányítástechnikai eljárásokkal kapott eredményeket a sztochasztikus identifikációs módszerek becslésével, a transzferfüggvények illetve a transzfermátrixok különböző típusú approximációja alapján.
Results in English
This research project deals with the construction and development of new models of "uncertain principles" for the description of linear and nonlinear vehicle system dynamics using efficient new stochastic, fuzzy modelling approaches and identification algorythms. The methodological approach of the vehicle dynamics modelling is not only based on the traditional statistical system idetificaion methods, but on those soft computing approaches using among others fuzzy logic and fuzzy control algorythms, neural and fuzzy-neural networks, new singular value decomposition methods, establishing interconnection between Takagi-Sugeno type control models interpreted for LPV systems and higher order singular value decomposition (HOSVD). In the large-scale and complex modelling of the nonlinear vehicle system dynamics efficient complexity reduction techniques and fuzzy interpolative methods will be applied for the realization of the mass-data processing on the basis of multiprocessor computational intelligence. In the linear vehicle dynamic modelling a comparison will be examined between the rulebased fuzzy control approaches and modelling of the well-known modern stochastic identification methods on the basis of different transfer function and transfer matrix approximations.
Full text http://real.mtak.hu/806/
Decision
Yes





 

List of publications

  
Várkonyi-Kóczy AR, Várlaki P: Uncertainty Representation in Nonlinear and Hybrid Systems, IEEE 3rd International Conference on Computational Cybernetics, 2005
Harmati I, Orbán G, Várlaki P: Takagi-Sugeno fuzzy control models for large scale logistic systems, 3rd International Symposium on Computational Intelligence and Intelligent Informatics, ISCIII 2007, Agadir, Morocco, 2007
Rövid A, Várkonyi-Kóczy AR, Várlaki P: Car Body Deformation Determination Based on Soft Computing Techniques, Proc. of the 11TH PhD Mini-Symposium, 2004
Várkonyi-Kóczy AR,Baranyi P,Várlaki P,Kiss l: Model Based Anytime Complex Systems, in: 7th IEEE Int. Conf. on Intelligent Eng. Sys. pp.394-399, 2003
Várkonyi-Kóczy AR,Baranyi P,Várlaki P,Kiss l: State Dependant Anytime Control Methodology for Prototypical Aeroelastic Wing Section with Stuctural Non-linearity, in: 2003 IEEE Int. Symp. on Industrial Electronics BF-003362, 2003
Baranyi P, Várkonyi-Kóczy AR, Várlaki P, Michelberger P, Patton RJ: Singular Value Based Model Approximation, in: In N. Mastorakis (ed.) Problems in Applied Mathematics and Computational Intelligence, 2002
Nádai L, Várlaki P: Filtering Hidden Information Processes in Photon Counting Experiments, in: International Conf. in Memoriam of John von Neumann, 2003
Michelberger P, Nádai L, Várlaki P: Riesz Basis in Control Theory, in: Periodica Polytechnica Transportation Engineering, 2003
Nádai L, Várlaki P: Stochastic Model for Single Photon Counting Measurements, in: Intelligent Signal Processing pp. 289-293, 2003
Rövid A, Várkonyi-Kóczy AR, Várlaki P, Michelberger P: Soft Computing Based Car Body Deformation and EES Determination for Car Crash Analysis Systems, in: Instrumentation and Measurement Technology Conference, 2004
Rövid A, Melegh G: Modeling and Identification of Road Vehicle Body Deformation, in: Periodica Polytechnica Transportation Engineering pp. 135-148, 2003
Rövid A, Melegh G: Modeling of Road Vehicle Body Deformation Using EES Values Detection, in: Intelligent Signal Processing pp. 149-154, 2003
Molnárka G: Implicit Extension of Taylor Series Method for Initial Value Problems, in: Computational Methods in Sciences and Engineering pp. 436-445, 2003
Molnárka G, Miletics E: Implicit Extension of Taylor Series Method with Numerical Derivatives, in: PAMM pp. 569-570, 2003
Miletics E: Energy Conservative Algorithm for Numerical Solution of ODEs Initial Value Problems, in: Computational Methods in Sciences and Engineering pp. 418-426, 2003
Miletics E: Energy Conservative Methods for Numerical Solution of ODEs Based on Taylor Series Algorithm, in: PAMM pp. 12-13, 2004
Rövid A, Várkonyi-Kóczy AR, Várlaki P: Intelligent Methods for Car Deformation Modeling and Crash Speed Estimation, in: 1th Romanian-Hungarian Joint Symposium on Applied Computational Intelligence pp. 75-84, 2004
Rövid A, Várkonyi-Kóczy AR, Várlaki P: 3D Model Estimation from Multiple Images, in: IEEE International Conference on Fuzzy Systems pp. 1661-1666, 2004
Rövid A, Várkonyi-Kóczy AR, Várlaki P: An Application of Intelligent 3D Reconstruction in Vehicle System Dynamics, in: 2nd Int. Conf. on Artificial Intelligence in Science and Technology pp. 257-262, 2004
Nádai L, Kóczy LT, Várlaki P: Optimizing Sampling Time in Single Photon Counting Experiments, in: FUZZ-IEEE 2004 pp. 25-29, 2004
Várlaki P, Nádai L, Bulla M, Szakál A: New Stochastic Framework for Modeling Optical Communication Systems, in: 6th WSEAS Int. Conf. on Telecommunications and Informatics, 2004
Molnárka G, Miletics E: A Collocation Type Implicit Taylor Series Algorithm for ODE Initial Value Problems, in: 4th Int. Conf. on Engineering Computational Technology paper 58 pp. 1-10, 2004
Miletics E: Energy Conservative Algorithm for Numerical Solution of Initial Value Hamiltonian System Problems, in: Journal of Advanced Computational Intelligence and Intelligent Informatics pp. 495-498, 2004
Várlaki P,Nádai L: New Stochastic Framework for Modeling Optical Communication Systems, Trans. on Communic. Vol.3. No.1. pp. 42-46, 2004
Bokor J, Baranyi P, Michelberger P, Várlaki P: TP Model Transformation in Non-Linear System Control, IEEE 3rd International Conference on Computational Cybernetics, pp. 111-119, ISBN 9637154 37 X, 2005
Várlaki P, Nádai L: On the Application of Subjective Learning Algorithms in Decision-making, IEEE 3rd International Conference on Computational Cybernetics, 2005
Várkonyi-Kóczy AR, Rövid A, Várlaki P: Fuzzy Based Brightness Compensation for High Dynamic Range Images, In Proc. of the 9th IEEE Int. Conference on Intelligent Engineering Systems, INES’2005, pp. 245-248., 2005
Baranyi P, Petres Z, Várlaki P, Michelberger P: Observer and Control law Design to the TORA System via TPDC Framework, In WSEAS Transactions on Systems, Issue 1, Volume 5, pp. 156-163. (ISSN 1109-2777), 2005
Baranyi P, Várlaki P: TP Model Transformation as a Uniform Way for Observer Design, The 6th International Workshop on Computer Science and Information Technologies (CSIT 2004), pp. 87-93, 2004
Baranyi P, Várlaki P, Szeidl L: Numerical reconstruction of the HOSVD based canonical form of polytopic dynamic models, INES 2006. 10th International Conference on Intelligent Engineering Systems. London, pp.196-201, 2006
Baranyi P, Szeidl L, Várlaki P, Yam Y: Definition of the HOSVD based canonical form of polytopic dynamic models, ICM 2006. 3rd IEEE International Conference on Mechatronics. Budapest, 2006, pp.660-665, 2006
Várkonyi-Kóczy AR, Rövid A, Várlaki P: Fuzzy Based Brightness Compensation for High Dynamic Range Images, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2006
Molnárka Gy: Implicit extension of Taylor series method for initial value problem, Journal of Computational Methods in Sciences and Engineering 5 (2005) 263-270, 2005
Harmati I, Rövid A, Várlaki P: A new conception for model identification of car body deformation, International Conference on the Applications of Mathematics - ICAM 2006,Santiago, Chile, 2006
Harmati I, Rövid A, Szeidl L,Várlaki P: Identification of car body deformation applying tensor product models, 3rd Romanian-Hungarian Joint Symposium on Applied Computational Intelligence - SACI 2006,Timisoara, Romania, 2006
Harmati I, Rövid A, Szeidl L,Várlaki P: Identification and reconstruction of car body deformation applying tensor product models, 10th International Conference on Intelligent Engineering Systems 2006 - INES 2006,London, pp.98-101, 2006
Harmati I, Rövid A, Várlaki P: Application of tensor product models for vehicle deformational processes, 10th MINI Conference on Vehicle System Dynamics, Identification and Anomalies - VSDIA 2006, Budapest, 2006
Harmati I, Várlaki P: Estimation of energy distribution for car-body deformation, 3rd International Symposium on Computational Intelligence and Intelligent Informatics, ISCIII 2007, Agadir, Morocco, 2007



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