A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND
暂无分享,去创建一个
[1] Jan F. Broenink. Introduction to Physical Systems Modelling with Bond Graphs , 2000 .
[2] Pieter J. Mosterman,et al. A Combined Qualitative/Quantitative Approach for Fault Isolation in Continuous Dynamic Systems , 2000 .
[3] M. Verhaegen,et al. Identifying MIMO Wiener systems using subspace model identification methods , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.
[4] Gautam Biswas,et al. Analytic Redundancy, Possible Conflicts, and TCG-based Fault Signature Diagnosis applied to Nonlinear Dynamic Systems , 2009 .
[5] David Kortenkamp,et al. Intelligent Control of a Water-Recovery System: Three Years in the Trenches , 2003, AI Mag..
[6] P. Frank,et al. Strong tracking filtering of nonlinear time-varying stochastic systems with coloured noise: application to parameter estimation and empirical robustness analysis , 1996 .
[7] Gautam Biswas,et al. Designing Distributed Diagnosers for Complex Continuous Systems , 2009, IEEE Transactions on Automation Science and Engineering.
[8] O. Nelles. Nonlinear System Identification , 2001 .
[9] B. Pulido,et al. Machine Learning and Model Based Diagnosis using Possible Conflicts and System Decomposition , 2008 .
[10] O. Nelles. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models , 2000 .
[11] Alan S. Perelson,et al. System Dynamics: A Unified Approach , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[12] Tohru Katayama,et al. Subspace Methods for System Identification , 2005 .
[13] Brian C. Williams,et al. Decompositional, Model-based Learning and its Analogy to Diagnosis , 1998, AAAI/IAAI.
[14] M. Viberg. Subspace-based state-space system identification , 2002 .
[15] Xenofon D. Koutsoukos,et al. A Comprehensive Diagnosis Methodology for Complex Hybrid Systems: A Case Study on Spacecraft Power Distribution Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[16] Carlos Alonso González,et al. Possible conflicts: a compilation technique for consistency-based diagnosis , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] J. Chambers. Fitting nonlinear models: numerical techniques , 1973 .
[18] Gabor Karsai,et al. A robust method for hybrid diagnosis of complex systems , 2003 .
[19] Roberto Kawakami Harrop Galvão,et al. Wiener-System Subspace Identification for Mobile Wireless mm-Wave Networks , 2007, IEEE Transactions on Vehicular Technology.
[20] Belkacem Ould Bouamama,et al. Model-based Process Supervision: A Bond Graph Approach , 2008 .
[21] Janos Gertler,et al. All linear methods are equal—and extendible to (some) nonlinearities , 2002 .
[22] Rolf Isermann,et al. Fault-Diagnosis Systems , 2005 .
[23] Pieter J. Mosterman,et al. Diagnosis of continuous valued systems in transient operating regions , 1999, IEEE Trans. Syst. Man Cybern. Part A.
[24] Brian C. Williams,et al. Diagnosing Multiple Faults , 1987, Artif. Intell..
[25] B. Moor,et al. Subspace identification for linear systems , 1996 .
[26] A. D. Pouliezos,et al. Real time fault monitoring of industrial processes , 1994 .
[27] Giorgio Pariani,et al. Results of an integrated water recovery system test , 2001 .
[28] M. Nyberg,et al. Minimal Structurally Overdetermined sets for residual generation: A comparison of alternative approaches , 2009 .
[29] Janos Gertler,et al. Fault detection and diagnosis in engineering systems , 1998 .
[30] Paul M. Frank,et al. Issues of Fault Diagnosis for Dynamic Systems , 2010, Springer London.
[31] Teresa Escobet,et al. Parameter estimation methods for fault detection and isolation LAAS-CNRS UPC , 2001 .
[32] Michel Verhaegen,et al. Recursive subspace identification of linear and non-linear Wiener state-space models , 2000, Autom..
[33] Aníbal Bregón Bregón. Integration of fdi and dx techniques within consistency-based diagnosis with possible conflicts , 2010 .
[34] Raymond Reiter,et al. A Theory of Diagnosis from First Principles , 1986, Artif. Intell..
[35] Michel Kinnaert,et al. Diagnosis and Fault-Tolerant Control , 2006 .