P. Michelberger

Publications (14)6.6 Total impact

• Conference Proceeding: Applicability of Qualitative Reliability Analysis for Redundant Systems

  T. Fulep, P. Michelberger, L. Nadai
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  ABSTRACT: In this paper we consider the problematic design of safety critical systems for future commercial vehicles. The development of such systems is mainly driven by the social demand that the citizens want to see safer, more reliable vehicles on the roads, which can also handle more complex situations than the human driver can. Redundant electronic systems confront us with new challenges in reliability analysis, since handling and defining their back-up strategies is not a straightforward task by means of using qualitative approaches. It is also questionable whether the well-known approaches of classical reliability theory are appropriate for redundant electronic systems, especially if they are of safety critical nature, such as the electronic brake system that has been used in commercial vehicles in Europe for almost a decade. The paper presents a less widespread and a more widespread technique through reliability theory, which enable the designer organizing functions and subsystems, failures and logical relationships between failures from the system level up-to the last component without missing any of them.
  Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on; 04/2007
• Conference Proceeding: TP model transformation in non-linear system control

  J. Bokor, P. Baranyi, P. Michelberger, P. Varlaki
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  ABSTRACT: The main objective of the paper is to study the recently proposed tensor product distributed compensation (TPDC) based design framework in the case of observer and controller design. The TPDC links the TP model transformation and the parallel distributed compensation (PDC) framework. The study is conducted trough the output feedback control design of the prototypical aeroelastic wing section that is used for the theoretical as well as experimental analysis of two-dimensional aeroelastic behavior and exhibits limit cycle oscillation without control effort. The control strategy is based on a state feedback controller and an observer to estimate the available state values.
  Computational Cybernetics, 2005. ICCC 2005. IEEE 3rd International Conference on; 05/2005
• Conference Proceeding: Global asymptotic stabilization of the aeroelastic wing section: a TP model transformation based approach

  P. Baranyi, P. Michelberger
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  ABSTRACT: A comprehensive analysis of aeroelastic systems has shown that these systems exhibit a broad class of pathological response regimes when certain types of non-linearities are included. We propose a design method of a state-dependent non-linear controller for aeroelastic systems that includes polynomial structural non-linearities. The method is based on recent numerical methods such as tensor product model transformation and parallel distributed compensation. As an example, a controller is derived that ensures the global asymptotic stability of a prototypical aeroelastic wing section via one control surface. Alternative solution with one control surface and global asymptotic stability does not exist so far. Numerical simulations are used to provide empirical validation of the control results. The effectiveness of the controller design is compared with former approaches.
  Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on; 08/2004
• Conference Proceeding: Soft computing based car body deformation and EES determination for car crash analysis systems

  A. Rovid, A.R. Varkonyi-Koczy, M.D.G. Ruano, N. Varlaki, P. Michelberger
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  ABSTRACT: Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding energy equivalent speed can be of key importance, however their precise determination is a very difficult task. Although, using the results of crash tests, intelligent and soft methods offer a way to model the crash process itself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. In this paper a modeling technique and an intelligent expert system are introduced which together are able to follow the deformation process of car bodies in car crashes and to analyze the strength of the different parts, thus significantly can contribute to the improvement of the safety of car bodies.
  Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE; 06/2004
• Conference Proceeding: Automatic TS-model representation of analytic differential equations for Tanaka's LMI based control design

  P. Baranyi, D. Tikk, R.J. Patton, P. Michelberger
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  ABSTRACT: We propose a HOSVD (Higher Order Singular Value Decomposition) based approach to LMI based control design and stability analysis techniques. The proposed method deals with the analytic differential equations of dynamic models and automatically finds their TS model representation. As a subsequent advantage, it optimizes the complexity of the resulted TS model with respect to approximation accuracy. As an example a detailed control design is given.
  Systems, Man and Cybernetics, 2002 IEEE International Conference on; 11/2002
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  Article: SVD-based complexity reduction to TS fuzzy models

  P. Baranyi, Yeung Yam, A.R. Varkonyi-Koczy, R.J. Patton, P. Michelberger, M. Sugiyama
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  ABSTRACT: One of the typical important criteria to be considered in real-time control applications is the computational complexity of the controllers, observers, and models applied. In this paper, a singular value decomposition (SVD)-based complexity reduction technique is proposed for Takagi Sugeno (TS) fuzzy models. The main motivation is that the TS fuzzy model has exponentially growing computational complexity with the improvement of its approximation property through, as usually practiced, increasing the density of antecedent terms. The reduction technique proposed here is capable of defining the contribution of each local linear model included in the TS fuzzy model, which serves to remove the weakly contributing ones as according to a given threshold. Reducing the number of models leads directly to the computational complexity reduction. This work also includes a number of numerical and application examples
  IEEE Transactions on Industrial Electronics 05/2002; · 5.16 Impact Factor
• Conference Proceeding: Adaption without rule base size expansion: HOSVD based approach

  P. Baranyi, A.R. Varkonyi-Koczy, Yeung Yam, P. Michelberger
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  ABSTRACT: The main objective of this paper is to propose an algorithm capable of inserting new measured information or fuzzy rules into a rule-base which is complexity minimized by higher order singular value decomposition (HOSVD) (Yam et al, 1999; Yam 1997; Yen and Wang, 1999). A numerical example is also discussed.
  Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE; 02/2002
• Conference Proceeding: HOSVD based computational complexity reduction of TS fuzzy models

  P. Baranyi, A.R. Varkonyi-Koczy, Yeung Yam, P. Michelberger
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  ABSTRACT: One of the usual important criteria to be considered in real time control applications is the computational complexity of the controllers, observers and models applied. In this paper a higher order singular value decomposition (HOSVD) based complexity reduction technique is proposed to Takagi Sugeno (TS) fuzzy models, which is capable of defining the contribution of each local linear model included in the TS fuzzy model. This helps us with discarding the weakly contributing ones according to a given threshold. Reducing the number of models leads directly to the computational complexity reduction
  IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th; 08/2001
• Conference Proceeding: An adaption technique to SVD reduced rule bases

  P. Baranyi, A.R. Varkonyi-Koczy, Y. Yam, P. Varlaki, P. Michelberger
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  ABSTRACT: The practically non-universal approximation property, shown by Tikk et al. and the exponential complexity problem of widely adopted fuzzy logic techniques, shown by Koczy and Hirota, reveal the contradictions features of fuzzy rule bases in pursuing of good approximation. As a result complexity reduction topic emerged in fuzzy theory. One of the natural disadvantages of using complexity reduction is that the adaptivity property of the reduced approximation becomes strictly restricted. This paper proposes a technique, to singular value decomposition (SVD) based reduction, which may alleviate the adaptivity restriction. A high order tensor projection is proposed here as key idea
  IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th; 08/2001
• Article: DETERMINATION OF MASS, DAMPING AND STIFFNESS MATRICES USING STRUCTURAL AND PARAMETRIC IDENTIFICATION OF LINEAR VEHICLE FRAME MODELS

  P. Michelberger, J. Bokor, A. Keresztes, P. Várlaki
  Vehicle System Dynamics 01/1988; 17(S1):252-264. · 0.72 Impact Factor
• Article: Nonlinearity Analysis for Identification of Commercial Road Vehicle Structure Dinamics

  P. MICHELBERGER, A. KERESZTES, J. BOKOR, P. VÁRLAKI
  Vehicle System Dynamics 06/1985; 14(1-3):172-175. · 0.72 Impact Factor
• Conference Proceeding: Multivariable Identification for Commercial Vehicle Stress Analysis

  P. Michelberger, J. Bokor, A. Keresztes, P. Varlaki
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  ABSTRACT: This paper presents the application of multivariable identification methods to obtain models for commercial road vehicles from measured stress responses arising in certain structural elements due to stochastic road excitation. The elementary subystem representation of the system transfer matrix allowing an effective structure and parameter estimation is used to model the vehicle and noise dynamics. Measurements were carried out on a laminated spring suspension bus, and models were indentified atvarious road profile variances and speed levels of the vehicle.
  American Control Conference, 1983; 07/1983
• Conference Proceeding: Polytopic Decomposition of the Linear Parameter-varying Model of the Parallel-type Double inverted Pendulum

  S. Nagy, Z. Petres, P. Baranyi, L. Szeidl, P. Michelberger
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  ABSTRACT: Most of the formal controller synthesis approaches require conditions like controllability, observability of the systems, however it is still difficult to verify these properties in general. In case of polytopic models these conditions and the feasibility of the linear matrix inequalities (LMI) based design strongly depends on the weighting of the LTI vertex components of the polytopic model. With tensor product (TP) model transformation it is possible to decompose linear parameter-varying (LPV) models into polytopic forms in various ways and also provides the appropriate weighting functions. The objective of this paper is to use this decomposition on the the parallel-type double inverted pendulum control problem.
  Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on;
• Conference Proceeding: Different Polytopic Decomposition of the Model of Heavy Vehicles by TP model transformation

  Z. Petres, P. Baranyi, P. Gaspar, P. Varlaki, P. Michelberger
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  ABSTRACT: This paper is concerned with the generation of various different polytopic representation of the vehicle model for LMI based control design. In case of polytopic models conditions like controllability, observability of the systems and the feasibility of the linear matrix inequalities based analysis and design strongly depends on the weighting of the LTI vertex components of the polytopic model. TP model transformation is performed on the LPV model of the heavy vehicle, the HOSVD based canonical and other convex polytopic representations are presented and in a controller design problem the various representations are investigated.
  Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on;