Non-linear robust identification using evolutionary algorithms. Application to a biomedical process

Engineering Applications of Artificial Intelligence

Volumn 21, Issue 8, 2008, Pages 1397-1408

  Herrero, J M ^a   Blasco, X ^a   Martinez M ^a   Ramos, C ^a   Sanchis, J ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Biomedical processes; Evolutionary algorithms; Multimodal optimization; Multiobjective optimization; Robust identification

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PARAMETER ESTIMATION; SET THEORY;

AND MODELS; BIOMEDICAL; BIOMEDICAL MODELS; BIOMEDICAL PROCESSES; CARDIAC CELLS; DISCRETE SETS; EXPERIMENTAL DATUM; FEASIBLE PARAMETER SETS; IDENTIFICATION ERRORS; IDENTIFICATION PROBLEMS; IDENTIFICATION PROCESSES; INFINITE NUMBERS; IONIC CURRENTS; LINEAR MODELS; MODEL QUALITIES; MULTIMODAL OPTIMIZATION; MULTIMODAL OPTIMIZATION PROBLEMS; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; NOMINAL MODELS; OPTIMIZATION TASKS; PARAMETER VALUES; PROBLEM COMPLEXITIES; ROBUST IDENTIFICATION; ROBUST IDENTIFICATIONS;

EVOLUTIONARY ALGORITHMS;

EID: 54049145470     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.05.001     Document Type: Article

References (18)

1. Bai E., Ye Y., and Tempo R. Bounded error parameter estimation: a survey. IEEE Transaction on Automatic Control 44 6 (1999) 1107-1117
2. Belforte G., Bona B., and Cerone V. Parameter estimation algorithms for a set-membership description of uncertainty. Automatica 26 5 (1990) 887-898
3. Cardona, K.E., 2005. Modelización del comportamiento eléctrico del fármaco antiarrítmico clase ib-lidocaína en células del miocardio en cobaya y conejo. Technical Report, Department of Electronic Engineering, Polytechnic University of Valencia.
4. Chisci L., Garulli A., Vicino A., and Zappa G. Block recursive parallelotopic bounding in set membership identification. Automatica 34 1 (1998) 15-22
5. Fogel E., and Huang F. On the value of information in system identification-bounded noise case. Automatica 18 12 (1882) 229-238
6. Garulli A., Kacewicz B., Vicino A., and Zappa G. Error bounds for conditional algorithms in restricted complexity set membership identification. IEEE Transaction on Automatic Control 45 1 (2000) 160-164
7. Herrero, J.M., 2006. Robust identification of non-linear systems using evolutionary algorithms. Ph.D. Thesis, Polytechnic University of Valencia, Spain.
8. Herrero J.M., Blasco X., Martínez M., and Ramos C. Nonlinear robust identification using multiobjective evolutionary algorithms. Lecture Notes in Computer Science vol. 3562 (2005), Springer, Berlin 231-241
9. Keesman K.J., and Stappers R. Nonlinear set-membership estimation: a support vector machine approach. Journal of Inverse and Ill-posed Problems 12 1 (2004) 27-41
10. Ljung L. System Identification, Theory for the User. second ed (1999), Prentice-Hall, Englewood Cliffs, NJ
11. Martínez, M., 2006. Estimación de parámetros en modelos de bloqueo de fármacos. Technical Report, Department of Systems Engineering and Control, Polytechnic University of Valencia.
12. Milanese M., and Vicino A. Optimal estimation theory for dynamic systems with set membership uncertainty: an overview. Automatica 27 6 (1991) 997-1009
13. Norton J.P. Identification and application of bounded-parameter models. Automatica 23 4 (1987) 497-507
14. Starmer C.F. Characterizing activity-dependent processes with a piecewise exponential model. Biometrics 44 (1988) 549-559
15. Walter E., and Kieffer M. Interval analysis for guaranteed nonlinear parameter estimation. Proceedings of the 13th IFAC Symposium on System Identification (2003)
16. Walter E., and Piet-Lahanier H. Estimation of parameter bounds from bounded-error data: a survey. Mathematics and Computers in Simulation 32 (1990) 449-468
17. Walter E., and Pronzalo L. Recursive robust minmax estimation for models linear in their parameters. Proceedings of the IFAC Symposium on Identification and System Parameter Estimation vol. 1 (1991) 763-768
18. Walter E., and Pronzalo L. Identification of Parametric Models from Experimental Data (1997), Springer, Berlin