ORBIT - Operating-regime-based modeling and identification toolkit

Control Engineering Practice

Volumn 6, Issue 10, 1998, Pages 1277-1286

  Johansen, Tor A ^a   Foss, Bjarne A ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Fuzzy systems; Nonlinear systems; Software tools; System identification

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SIMULATION; CONSTRAINT THEORY; FUZZY SETS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; VISUALIZATION;

BAYESIAN IDENTIFICATION; COMPUTER AIDED MODELING; SOFTWARE PACKAGE ORBIT;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0032181477     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0967-0661(98)00128-2     Document Type: Article

References (18)

1. ∞ control of nonlinear processes using multiple linear models. Proc. European Control Conf., Rome, pp. 2671-2676.
2. Chow, C.-M., Kuznetsov, A.G., & Clarke, D.W. (1995). Using multiple models in predictive control. Proc. European Control Conf., Rome, pp. 1732-1737.
3. Foss, B. A., Johansen, T. A., & Sørensen, Aa. V. (1995). Nonlinear predictive control using local models - applied to a batch fermentation process. Control Engng Practice, 3, 389-396.
4. Hunt, K. J., & Johansen, T. A. (1997). Design and analysis of gain-scheduled local controller networks. Int. J. Control 66, 619-651.
5. Hunt, K. J., Kalkkuhl, J. C., Fritz, H., & Johansen, T. A. (1996). Constructive empirical modelling of longitudinal vehicle dynamics with local model networks. Control Engineering Practice, 4, 167-178.
6. Jacobs, R. A., Jordan, M. I., Nowlan, S. J., & Hinton, G. E. (1991). Adaptive mixtures of local experts. Neural Cotnput., 3, 79-87.
7. Johansen, T. A. (1996). Robust identification of Takagi-Sugeno-Kang fuzzy models using regularization. Proc. IEEE Conf. Fuzzy Systems, New Orleans, pp. 180-186.
8. Johansen, T. A. (1997a). Constrained and regularized system identification. Preprints IFAC Symp., on System Identification, Kitakyushu, Japan, pp. 1467-1472.
9. Johansen, T. A. (1997b). On Tikhonov regularization, bias and variance in nonlinear system identification. Automatica, 33, 441-446.
10. Johansen, T. A. (1997c). ORBIT control design toolbox V1.10-User's guide and reference. Technical Report STF72 F97312. SINTEF, Trondheim, Norway.
11. Johansen, T. A., Foss, B. A. (1993). Constructing NARMAX models using ARMAX models. Int. J. Control 58, 1125-1153.
12. Johansen, T. A. & Foss, B.A. (1995). Identification of non-linear system structure and parameters using regime decomposition. Automatica, 31, 321-326.
13. Johansen, T. A., & Foss, B.A. (1997). Operating regime based process modeling and identification. Comput. Chem. Engng, 21, 159-176.
14. Johansen, T. A., Hunt, K. J., & Fritz, H. (1998). A software environment for gain scheduled local controller network design. IEEE Control Systems Magazine 18(2), 48-60.
15. Murray-Smith, R., & T. A. Johansen, (Eds.) (1997). Multiple model approaches to modelling and control. London: Taylor and Francis.
16. Sugeno, M., & Kang, G.T. (1988). Structure identification of fuzzy model. Fuzzy Sets and Systems, 26, 15-33.
17. Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Systems Man and Cybernet., 15, 116-132.
18. Zhao, J., Wertz, V., & Gorez, R. (1995). Linear TS fuzzy model based robust stabilizing controller design. IEEE Conf. Decision and Control, New Orleans, pp. 255-260.