Abstract
A novel method is presented for identification of a generalized bilinear system with nonlinear terms consisting of the product of the state vector and the coupling force variables. The identification process requires a series of pulse response experiments from input values of various pulse duration for coupling force variables. It also requires experiments with multiple inputs rather than one single input at a time. The resulting identified system matrices represent the input–output map of the generalized bilinear system. A simple example is given to illustrate the concept of the identification method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bruni, C., DiPillo, G., and Koch, G., On the Mathematical Models of Bilinear Systems, Ricerche Di Automatica, 2 (1), 1971, pp. 11–26.
Bruni, C., DiPillo, G., and Koch, G., Bilinear Systems: An Appealing Class of Nearly Linear Systems in Theory and Application, IEEE Transaction Automatic Control, AC-19, 1974, pp. 334–348.
Mohler, R. R., and Kolodziej, W. J., An Overview of Bilinear System Theory and Applications, IEEE Transactions on Systems, Man and Cybernetics, SMC-10, 1980, pp. 683–688.
Mohler, R. R., Nonlinear Systems: Vol. II, Applications to Bilinear Control, Prentice-Hall, New Jersey, 1991.
Elliott, D. L., Bilinear Systems, in Encyclopedia of Electrical Engineering, Vol. II John Webster (ed.), John Wiley and Sons, New York, 1999, pp. 308–323.
Juang, J.-N., Continuous-Time Bilinear System Identification, Nonlinear Dynamics, Kluwer Academic Publishers, Special Issue 39(1-2), (January I-II 2005), pp. 79–94
Sontag, E.D., Wang, Y., Megretski, A., Input Classes for Identification of Bilinear Systems, 2007 American Control Conference, July 11–13, 2007, Marriott Marquis Hotel at Time Square, New York, USA, Paper FrA04.3.
Juang, J.-N., Generalized Bilinear System Identification, The Journal of the Astronautical Sciences, Vol. 57, Nos. 1 & 2, January-June 2009, pp. 261–273.
Juang, J.-N., Applied System Identification, Prentice Hall, New Jersey, 1994.
Juang, J-N. and Phan, M. Q., Identification and Control of Mechanical Systems, Cambridge University Press, New York, 2001.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Juang, JN. (2012). Generalized Bilinear System Identification with Coupling Force Variables. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25707-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-25707-0_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25706-3
Online ISBN: 978-3-642-25707-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)