Reduction of coupled field models for the simulation of electrical machines and power electronic modules
暂无分享,去创建一个
[1] Jian Ye,et al. A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting , 2008 .
[2] Jan Swevers,et al. A subspace algorithm for the identification of discrete time frequency domain power spectra , 1997, Autom..
[3] Giorgio Picci,et al. Stochastic realization with exogenous inputs and 'subspace-methods' identification , 1996, Signal Process..
[4] G. Golub,et al. Linear least squares solutions by householder transformations , 1965 .
[5] M. Sachdev,et al. Thermal runaway in integrated circuits , 2006, IEEE Transactions on Device and Materials Reliability.
[6] M. Verhaegen. Subspace model identification Part 2. Analysis of the elementary output-error state-space model identification algorithm , 1992 .
[7] E. Videcoq,et al. Thermal control via state feedback using a low order model built from experimental data by the Modal Identification Method , 2012 .
[8] Seung-Hwan Yu,et al. Effect of radiation in a radial heat sink under natural convection , 2012 .
[9] J. Dormand,et al. A family of embedded Runge-Kutta formulae , 1980 .
[10] Akira Ohsumi,et al. Subspace identification for continuous-time stochastic systems via distribution-based approach , 2002, Autom..
[11] D.S. Bernstein,et al. Subspace-based identification for linear and nonlinear systems , 2005, Proceedings of the 2005, American Control Conference, 2005..
[12] T. Söderström,et al. Least squares parameter estimation of continuous-time ARX models from discrete-time data , 1997, IEEE Trans. Autom. Control..
[13] C. Hirsch,et al. Numerical Computation of Internal and External Flows. By C. HIRSCH. Wiley. Vol. 1, Fundamentals of Numerical Discretization. 1988. 515 pp. £60. Vol. 2, Computational Methods for Inviscid and Viscous Flows. 1990, 691 pp. £65. , 1991, Journal of Fluid Mechanics.
[14] Karl Johan Åström,et al. BOOK REVIEW SYSTEM IDENTIFICATION , 1994, Econometric Theory.
[15] Lukas Ferkl,et al. Ceiling radiant cooling: Comparison of ARMAX and subspace identification modelling methods , 2010 .
[16] S. Fassois. MIMO LMS-ARMAX IDENTIFICATION OF VIBRATING STRUCTURES—PART I: THE METHOD , 2001 .
[17] D. Rixen. A dual Craig-Bampton method for dynamic substructuring , 2004 .
[18] frederique da silva,et al. Méthodologies de réduction de modèles multiphysiques pour la conception et la commande d’une chaîne de traction électrique , 2015 .
[19] Louis B. Bushard,et al. On the value of Guyan Reduction in dynamic thermal problems , 1981 .
[20] Morten Bisgaard,et al. Adaptive control system for autonomous helicopter slung load operations , 2010 .
[21] Vincent Faucher,et al. A time and space mortar method for coupling linear modal subdomains and non-linear subdomains in explicit structural dynamics , 2003 .
[22] R. Pearson,et al. Nonlinear discrete-time models: state-space vs. I/O representations , 2004 .
[23] Venkataramanan Balakrishnan,et al. System identification: theory for the user (second edition): Lennart Ljung; Prentice-Hall, Englewood Cliffs, NJ, 1999, ISBN 0-13-656695-2 , 2002, Autom..
[24] J. Whitelaw,et al. Convective heat and mass transfer , 1966 .
[25] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[26] J. W. Sofia. Analysis of thermal transient data with synthesized dynamic models for semiconductor devices , 1994 .
[27] D. Schweitzer. Thermal Transient Multisource Simulation Using Cubic Spline Interpolation of Zth Functions , 2006 .
[28] Karl Johan Åström. Maximum likelihood and prediction error methods , 1980, Autom..
[29] H. Sorenson. Least-squares estimation: from Gauss to Kalman , 1970, IEEE Spectrum.
[30] Franklin Fa-Kun Kuo,et al. Network analysis and synthesis , 1962 .
[31] S. Julier,et al. A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .
[32] Yogendra Joshi,et al. Error estimation in POD-based dynamic reduced-order thermal modeling of data centers , 2013 .
[33] Patrick Dewilde,et al. Subspace model identification Part 1. The output-error state-space model identification class of algorithms , 1992 .
[34] Daniel J. Rixen,et al. Efficient weakly coupled projection basis for the reduction of thermo-mechanical models , 2010, J. Comput. Appl. Math..
[35] Cédric Leblond,et al. An optimal projection method for the reduced-order modeling of incompressible flows , 2011 .
[36] Weeratunge Malalasekera,et al. An introduction to computational fluid dynamics - the finite volume method , 2007 .
[37] Thermal interaction model between a fluid flow and a solid , 2009 .
[38] Jordi Palacín,et al. A time-domain method for the analysis of thermal impedance response preserving the convolution form , 1999 .
[39] Steven Kay,et al. Modern Spectral Estimation: Theory and Application , 1988 .
[40] A. Kropp,et al. Efficient Broadband Vibro-Acoustic Analysis of Passenger Car Bodies Using an FE-Based Component Mode Synthesis Approach , 2003 .
[41] S. S. Kang. Advanced Cooling for Power Electronics , 2012, 2012 7th International Conference on Integrated Power Electronics Systems (CIPS).
[42] GOAL-ORIENTED LOW-RANK APPROXIMATIONS FOR HIGH DIMENSIONAL STOCHASTIC PROBLEMS , 2013 .
[43] Barry W. Boehm,et al. Software Engineering Economics , 1993, IEEE Transactions on Software Engineering.
[44] Masanao Aoki,et al. Two Complementary Representations of Multiple Time Series in State Space Innovation Forms , 1994 .
[45] L. Litz,et al. State decomposition for singular perturbation order reduction—A modal approach† , 1981 .
[46] Athanasios C. Antoulas,et al. Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.
[47] F. N. Masana,et al. A new approach to the dynamic thermal modelling of semiconductor packages , 2001, Microelectron. Reliab..
[48] Uday B. Desai,et al. Nonlinear Target Identification and Tracking Using UKF , 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).
[50] Y. Rouizi,et al. Numerical model reduction of 2D steady incompressible laminar flows: Application on the flow over a backward-facing step , 2009, J. Comput. Phys..
[51] B. Moor,et al. Subspace identification for linear systems , 1996 .
[52] Shengwei Wang,et al. Multiple ARMAX modeling scheme for forecasting air conditioning system performance , 2007 .
[53] Siamak Niroomandi,et al. Model order reduction in hyperelasticity: a proper generalized decomposition approach , 2013 .
[54] The Reduced Basis Method in Control Problems , 1993 .
[55] Patrick Dubus,et al. Thermal pre-dimensioning methodology based on thermal impedance , 2010, 2010 6th International Conference on Integrated Power Electronics Systems.
[56] D. Ryckelynck,et al. A priori hyperreduction method: an adaptive approach , 2005 .
[57] J. Rambo,et al. Reduced-Order Modeling of Multiscale Turbulent Convection: Application to Data Center Thermal Management , 2006 .
[58] 片山 徹. Subspace methods for system identification , 2005 .
[59] Amélie Allard,et al. A Linear Data-Driven System Identification Methodology for an Active/Passive Solar Thermal Storage System and Application to a Solar House , 2013 .
[60] Dale E. Seborg,et al. Nonlinear Process Control , 1996 .
[61] Joseph C. S. Lai,et al. ARMAX modal parameter identification in the presence of unmeasured excitation—I: Theoretical background , 2007 .
[62] M. Bampton,et al. Coupling of substructures for dynamic analyses. , 1968 .
[63] Hiroyuki Ozoe, Wen-Quan Tao. A Modified Pressure-Correction Scheme for the SIMPLER Method, MSIMPLER , 2001 .
[64] M. Cooper,et al. Impact of junction temperature on microelectronic device reliability and considerations for space applications , 2003, IEEE International Integrated Reliability Workshop Final Report, 2003.
[65] Clifford M. Hurvich,et al. Regression and time series model selection in small samples , 1989 .
[66] James V. Candy,et al. Model-Based Signal Processing , 1985 .
[67] Dr. Martin März,et al. Thermal Modeling of Power-electronic Systems , 2000 .
[68] M. P. Païdoussis,et al. Reduced-order models for nonlinear vibrations of cylindrical shells via the proper orthogonal decomposition method , 2003 .
[69] Muhammad Rashid. SPICE for Power Electronics and Electric Power, Third Edition (Rashid, M.H.; 2012) [Book News] , 2013, IEEE Industrial Electronics Magazine.
[70] Mehdi Karrari,et al. Two-dimensional ARMA model order determination. , 2009, ISA transactions.
[71] Katja Bachmeier,et al. Numerical Heat Transfer And Fluid Flow , 2016 .
[72] Michael Beitelschmidt,et al. Comparison of model reduction techniques for large mechanical systems , 2008 .
[73] D. H. Zhou,et al. A real-time estimation approach to time-varying time delay and parameters of NARX processes , 2000 .
[74] C. Allery,et al. An adaptive ROM approach for solving transfer equations , 2006 .
[75] Stefano Zucca,et al. Reduced-Order Models for the Calculation of Thermal Transients of Heat Conduction/Convection FE Models , 2007 .
[76] R. Guyan. Reduction of stiffness and mass matrices , 1965 .
[77] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[78] Mohamed Hamdaoui,et al. POD-ISAT : An Efficient Reduced-order Modeling Method for the representation of Parametrized Finite Element solutions. Application to Aircraft Air Control Systems , 2012 .
[79] E. Beyne,et al. Transient thermal modeling and characterization of a hybrid component , 1996, 1996 Proceedings 46th Electronic Components and Technology Conference.
[80] Jie Sheng,et al. Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data , 2011, Math. Comput. Model..
[81] Adrien Bobillot,et al. Méthodes de réduction pour le recalage : application au cas d'Ariane 5 , 2002 .
[82] R. Kálmán. Mathematical description of linear dynamical systems , 1963 .
[83] G. Kerschen,et al. The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview , 2005 .
[84] D. S. Bernstein,et al. Subspace identification for non-linear systems with measured-input non-linearities , 2005 .
[85] Jean-Philippe Noël,et al. Frequency-domain subspace identification for nonlinear mechanical systems , 2013 .
[86] S. Billings,et al. Volterra series truncation and reduction in the frequency domain for weakly nonlinear system , 2006 .
[87] L. Ljung,et al. Subspace-based multivariable system identification from frequency response data , 1996, IEEE Trans. Autom. Control..
[88] G. Wagner. A study of the maximum theoretical power dissipation of tablets under natural convection conditions , 2014, 20th International Workshop on Thermal Investigations of ICs and Systems.
[89] Joseph C. S. Lai,et al. ARMAX modal parameter identification in the presence of unmeasured excitation—II: Numerical and experimental verification , 2007 .
[90] D. Veyret,et al. A Modal Identification Method To Reduce A High-Order Model: Application To Heat Conduction Modelling , 1997 .
[91] Karl Johan Åström,et al. Numerical Identification of Linear Dynamic Systems from Normal Operating Records , 1965 .
[92] E. Dallago,et al. Thermal resistance analysis by induced transient (TRAIT) method for power electronic devices thermal characterization. I. Fundamentals and theory , 1998 .
[93] N. S. Khalid. On-and off-line identification of linear state space models , 2012 .
[94] Abubakr Gafar Abdalla,et al. Probability Theory , 2017, Encyclopedia of GIS.
[95] M. Moonen,et al. QSVD approach to on- and off-line state-space identification , 1990 .
[96] Development of an Extended Quadratic Tetrahedron for Finite Element Analysis of Navier-Stokes Problems , 2003 .
[97] A. Nouy. A priori model reduction through Proper Generalized Decomposition for solving time-dependent partial differential equations , 2010 .
[98] G. Wachutka,et al. Calculation of the temperature development in electronic systems by convolution integrals , 2000, Sixteenth Annual IEEE Semiconductor Thermal Measurement and Management Symposium (Cat. No.00CH37068).
[99] Jr. J.J. LaViola,et al. A comparison of unscented and extended Kalman filtering for estimating quaternion motion , 2003, Proceedings of the 2003 American Control Conference, 2003..
[100] Hong Wang,et al. Applying a novel extended Kalman filter to missile-target interception with APN guidance law: A benchmark case study , 2010 .
[101] A. Kienle,et al. Reduction procedure for parametrized fluid dynamics problems based on proper orthogonal decomposition and calibration , 2010 .
[102] D. Spalding,et al. A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows , 1972 .
[103] Daniel Petit,et al. Model reduction in linear heat conduction: use of interface fluxes for the numerical coupling , 1998 .
[104] Jean-Philippe Noël,et al. Subspace-based identification of a nonlinear spacecraft in the time and frequency domains , 2014 .
[105] Francisco Chinesta,et al. A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids , 2006 .
[106] Robert L. Towner,et al. An Analysis Technique/Automated Tool for Comparing and Tracking Analysis Modes of Different Finite Element Models , 2012 .
[107] E. Hannan,et al. The statistical theory of linear systems , 1989 .
[108] Biao Huang,et al. System Identification , 2000, Control Theory for Physicists.
[109] L. Sirovich. TURBULENCE AND THE DYNAMICS OF COHERENT STRUCTURES PART I : COHERENT STRUCTURES , 2016 .
[110] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[111] C. C. Chan,et al. Nonlinear identification of power electronic systems , 1995, Proceedings of 1995 International Conference on Power Electronics and Drive Systems. PEDS 95.
[112] Kotaro Hirasawa,et al. A homotopy approach to improving PEM identification of ARMAX models , 2001, Autom..
[113] Wallace E. Larimore,et al. Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.
[114] J. P. V. Doormaal,et al. ENHANCEMENTS OF THE SIMPLE METHOD FOR PREDICTING INCOMPRESSIBLE FLUID FLOWS , 1984 .
[115] George A. Bekey,et al. System identification- an introduction and a survey , 1970 .
[116] G. Nicoletti,et al. Fast power cycling test of IGBT modules in traction application , 1997, Proceedings of Second International Conference on Power Electronics and Drive Systems.
[117] O. Quéméner,et al. The Modal Substructuring Method: An Efficient Technique for Large-Size Numerical Simulations , 2011 .
[118] Gaël Chevallier,et al. System Identification Using Kalman Filters , 2014 .
[119] Daniel Petit,et al. Model reduction through identification - Application to some diffusion-convection problems in heat transfer, with an extension towards control strategies , 2013 .
[120] Kari Karhunen,et al. Über lineare Methoden in der Wahrscheinlichkeitsrechnung , 1947 .
[121] A. Abdel-azim. Fundamentals of Heat and Mass Transfer , 2011 .
[122] K. Worden,et al. Past, present and future of nonlinear system identification in structural dynamics , 2006 .
[123] Pierre Ladevèze,et al. Nonlinear Computational Structural Mechanics , 1999 .
[124] Randall J. Allemang,et al. THE MODAL ASSURANCE CRITERION–TWENTY YEARS OF USE AND ABUSE , 2003 .
[125] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[126] Monson H. Hayes,et al. Statistical Digital Signal Processing and Modeling , 1996 .
[127] Christian Soize,et al. Nonparametric stochastic modeling of structures with uncertain boundary conditions / coupling between substructures , 2013 .
[128] Daniel Petit,et al. Identification methods in nonlinear heat conduction. Part II: inverse problem using a reduced model , 2005 .
[129] Bart De Moor,et al. N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..
[130] V. Székely,et al. Fine structure of heat flow path in semiconductor devices: a measurement and identification method , 1988 .
[131] V. Szekely,et al. On the representation of infinite-length distributed RC one-ports , 1991 .
[132] Abhishek K Gupta,et al. Numerical Methods using MATLAB , 2014, Apress.
[133] Jan G. Korvink,et al. Fast Simulation of Electro-Thermal MEMS: Efficient Dynamic Compact Models , 2006 .
[134] Bart De Moor,et al. Subspace Identification for Linear Systems: Theory ― Implementation ― Applications , 2011 .
[135] Y. Favennec,et al. The adjoint method coupled with the modal identification method for nonlinear model reduction , 2006 .
[136] P. Ladevèze. Nonlinear Computational Structural Mechanics: New Approaches and Non-Incremental Methods of Calculation , 1998 .
[137] P. Holmes,et al. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows , 1993 .
[138] Siglas de Palabras. a. J. C. , 2013 .
[139] W. Rugh. Nonlinear System Theory: The Volterra / Wiener Approach , 1981 .
[140] Marc P. Mignolet,et al. Modelling and prediction of machining errors using ARMAX and NARMAX structures , 2003 .
[141] Daniel Petit,et al. Model reduction by the Modal Identification Method in forced convection: Application to a heated flow over a backward-facing step , 2010 .
[142] Yaman Arkun,et al. A global solution to the nonlinear model predictive control algorithms using polynomial ARX models , 1997 .