An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation

Proceedings of the IEEE Conference on Decision and Control

Volumn 54rd IEEE Conference on Decision and Control,CDC 2015, Issue , 2015, Pages 2719-2724

  Martin, Cesar A ^a,c   Rivera, Daniel E ^a   Hekler, Eric B ^b  

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c ESCUELA SUPERIOR POLITÉCNICA DEL LITORAL   (Ecuador)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; MIMO SYSTEMS; MONITORING;

FREQUENCY DOMAIN TRANSFER FUNCTIONS; FREQUENCY DOMAINS; FREQUENCY SIGNALS; MULTI-SINUSOIDAL SIGNALS; PRIORI INFORMATION; SIMULATION STUDIES; STATISTICAL UNCERTAINTY; UNCERTAINTY REGIONS;

FREQUENCY ESTIMATION;

EID: 84962019021     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2015.7402627     Document Type: Conference Paper

References (11)

1. D. E. Rivera, H. Lee, M. W. Braun, and H. D. Mittelmann, "Plantfriendly system identification: a challenge for the process industries, " Proc. of the 13th IFAC Symposium on system identification SYSID, pp. 917-922, 2003.
2. D. E. Rivera, "Optimized behavioral interventions: What does system identification and control engineering have to offer?" in Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium, 2012, pp. 882-893.
3. L. Ljung, System identification : theory for the user, 2nd ed. Upper Saddle River, NJ : Prentice Hall PTR, 1999.
4. D. Bayard, "Statistical plant set estimation using Schroeder-phased multisinusoidal input design, " Applied Mathematics and Computation, vol. 58, no. 2-3, pp. 169-198, 1993.
5. D. S. Bayard and F. Y. Hadaegh, "Multivariable plant set estimation using multisinusoidal input designs, " in Proc. of the 10th IFAC Symposium on System Identification (SYSID'94), Copenhagen, 1994, pp. 509-513.
6. D. K. De Vries and P. M. Van den Hof, "Quantification of uncertainty in transfer function estimation: a mixed probabilistic-worst-case approach, " Automatica, vol. 31, no. 4, pp. 543-557, 1995.
7. D. E. Rivera, H. Lee, H. D. Mittelmann, and M. W. Braun, "Constrained multisine input signals for plant-friendly identification of chemical process systems, " Journal of Process Control, vol. 19, no. 4, pp. 623-635, 2009.
8. R. Pintelon and J. Schoukens, System identification: a frequency domain approach, 2nd ed. Wiley; IEEE Press, 2012.
9. P. Guillaume, J. Schoukens, R. Pintelon, and I. Kollar, "Crest-factor minimization using nonlinear Chebyshev approximation methods, " IEEE Trans. on Instrumentation and Measurement, vol. 40, no. 6, pp. 982-989, 1991.
10. D. M. Prett and C. E. Garcia, Fundamental Process Control, 1st ed. Butterworth, 1988.
11. R. Steenis and D. E. Rivera, "Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals, " in Proc. of the 2010 American Control Conference (ACC), 2010, pp. 3722-3728.