The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Observability of modally reduced order models with unknown parameters
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“Indeed, the tasks of state estimation, parameter estimation, and input estimation require fulfillment of specific formal conditions, namely, observability, identifiability, and invertibility, respectively.”
From On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications (2025) · cites this paper as [158]
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Citations
Cites
Nonlinear controllability and observability
Hermann, R., & Krener, A. (1977) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1977.1101601 · Cited by 2,374 · cited 1×
“Most geometric observability methods build on the work of Hermann and Krener [3], which extends the observability test for linear systems to nonlinear analytical systems by developing the Observability Rank Condition (ORC) based on Lie algebra [4, 5].”
Method
Research works printed but not linked: 20
- R. Kalman, On the general theory of control systems, in: Proceedings of the First International Congress of IFAC, Moscow.
- Chatzis, 2015, On the observability and identifiability of nonlinear structural and mechanical systems, Structural Control and Health Monitoring, 22, 574, 10.1002/stc.1690 · DOI · Paper page
- S. Diop, M. Fliess, Nonlinear observability, identifiability, and persistent trajectories, in: Proceedings of the 30th IEEE Conference on Decision and Control, vol. 1, pp. 714–719. · DOI
- Ljung, 1994, On global identifiability for arbitrary model parametrizations, Automatica, 30, 265, 10.1016/0005-1098(94)90029-9 · DOI
- Sedoglavic, 2002, A probabilistic algorithm to test local algebraic observability in polynomial time, Journal of Symbolic Computation, 33, 735, 10.1006/jsco.2002.0532 · DOI
- S. Diop, Y. Wang, Equivalence between algebraic observability and local generic observability, in: Proceedings of 32nd IEEE Conference on Decision and Control, vol 3, pp. 2864–2865. · DOI
- Sain, 1969, Invertibility of linear time-invariant dynamical systems, IEEE Transactions on Automatic Control, 14, 141, 10.1109/TAC.1969.1099133 · DOI
- A. Martinelli, Extension of the observability rank condition to nonlinear systems driven by unknown inputs, in: Proceedings of the 23rd Mediterranean Conference on Control and Automation, MED 2015, Torremolinos, Spain. · DOI
- Maes, 2019, Observability of nonlinear systems with unmeasured inputs, Mechanical Systems and Signal Processing, 130, 378, 10.1016/j.ymssp.2019.05.010 · DOI
- De Jager, 1995, The use of symbolic computation in nonlinear control: Is it viable?, IEEE Transactions on Automatic Control, 40, 84, 10.1109/9.362897 · DOI
- X. Shi, M. Chatzis, M. Williams, Robust computation of the observability of large linear systems with unknown parameters, in: R. Caspeele, L. Taerwe, D. Frangopol (Eds.), Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018, Gent, Belgium, pp. 195–201.
- Maes, 2019, The influence of out-of-band modes in system inversion, Mechanical Systems and Signal Processing, 115, 173, 10.1016/j.ymssp.2018.05.051 · DOI
- Maes, 2019, Tracking of inputs, states and parameters of linear structural dynamic systems, Mechanical Systems and Signal Processing, 130, 755, 10.1016/j.ymssp.2019.04.048 · DOI
- Nelson, 1976, Simplified calculation of eigenvector derivatives, AIAA Journal, 14, 1201, 10.2514/3.7211 · DOI
- C. Papadimitriou, E. Ntotsios, Structural model updating using vibration measurements, in: M. Papadrakakis, N. Lagaros, M. Fragiadakis (Eds.), Proceedings of the ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering COMPDYN2009, Rhodes, Greece.
- Reynders, 2010, Combined experimental-operational modal testing of footbridges, ASCE Journal of Engineering Mechanics, 136, 687, 10.1061/(ASCE)EM.1943-7889.0000119 · DOI
- Lourens, 2012, Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors, Mechanical Systems and Signal Processing, 29, 310, 10.1016/j.ymssp.2012.01.011 · DOI
- Bachmann, 1992, Vibration upgrading of gymnasia, dance halls and footbridges, Structural Engineering International, 2, 118, 10.2749/101686692780615978 · DOI
- Anastasopoulos, 2018, Damage identification using modal strains identified from operational fiber-optic Bragg grating data, Structural Health Monitoring, 17, 1441, 10.1177/1475921717744480 · DOI
- Reynders, 2012, System identification methods for (operational) modal analysis: review and comparison, Archives of Computational Methods in Engineering, 19, 51, 10.1007/s11831-012-9069-x · DOI
Cited by
Sorted by citations
Kamariotis, A., Vlachas, K., Ntertimanis, V., Koune, I., Cicirello, A., & Chatzi, E. (2025) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering · doi:10.1115/1.4067140 · Cited by 15
Metadata
- Authors
- Maes, K., Chatzis, M. N., Vandebril, R., & Lombaert, G.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 146
- Pages
- 106993
- ISSN
- 0888-3270
- Cited by
- 15
- References
- 1
- Language
- en
- Funders
- Fonds Wetenschappelijk Onderzoek
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