Abstract
This paper describes a robust control method using difference signals and multiple competitive associative nets (CAN2s). Using difference signals of a plant to be controlled, the CAN2 is capable of leaning piecewise Jacobian matrices of nonlinear dynamics of the plant. By means of employing the GPC (generalized predictive controller), a robust control method to switch multiple CAN2s to cope with plant parameter change is introduced. We show the effectiveness of the present method via numerical experiments of a crane system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kohonen, T.: Associative Memory. Springer, Heidelberg (1977)
Ahalt, A.C., Krishnamurthy, A.K., Chen, P., Melton, D.E.: Competitive learning algorithms for vector quantization. Neural Networks 3, 277–290 (1990)
Kurogi, S., Nishida, T., Sakamoto, T., Itoh, K., Mimata, M.: A simplified competitive associative net and a model-switching predictive controller for temperature control of chemical solutions. In: Proc. of ICONIP 2000, pp. 791–796 (2000)
Kurogi, S., Sawa, M., Ueno, T., Fuchikawa, Y.: A batch learning method for competitive associative net and its application to function approximation. In: Proc. of SCI 2004, vol. 5, pp. 24–28 (2004)
Kurogi, S., Koshiyama, Y., Yuno, Y.: Temperature control of RCA cleaning solutions via model switching predictive control using first-order difference signals and bagging CAN2. Transaction of SICE 45(6), 305–312 (2009)
Kurogi, S., Yuno, H., Koshiyama, Y.: A method to switch multiple CAN2s for variable initial temperature in temperature control of RCA cleaning solutions. In: Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009. LNCS, vol. 5864, pp. 56–64. Springer, Heidelberg (2009)
Farmer, J.D., Sidorowich, J.J.: Predicting chaotic time series. Phys. Rev. Lett. 59, 845–848 (1987)
Ritter, H., Martinetz, T., Schulten, K.: Neural computation and self-orgaizing maps. Addison and Wesley (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kurogi, S., Yuno, H., Nishida, T., Huang, W. (2011). Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24965-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-24965-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24964-8
Online ISBN: 978-3-642-24965-5
eBook Packages: Computer ScienceComputer Science (R0)