Abstract
In this paper we introduce the concept of an adaptive synchronization controller. Synchronization is modelled as an adaptive tracking problem for families of interconnected linear systems. Stabilization and tracking results are obtained for minimum phase systems.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
U. Helmke, D. Pratzel-Wolters and S. Schmid, Adaptive tracking for scalar minimum phase systems, Berichte der Arbeitsgruppe Technomathematik, Nr. 39, Fachbereich Mathematik, Universität Kaiserslautern.
K. Doya, S. Yoshizawa, Adaptive Neural Oscillator using continuous time back-propagation learning, Neural Networks, vol 2, pp. 375–385, 1989
P.A. Fuhrmann, Z. Priel, H.J. Sussmann, A.C. Tsoi, On Self Synchronization in Ciliary Beating, unpublished manuscript, 1987
W.C. Lindsey, Synchronization systems in Communication and Control, Prentice Hall, New Jersey, 1972
J.C. Neu, Large populations of coupled chemical oscillators, SIAM J. Appl. Math. 38, 305–316, 1980
H. Unbehauen, I. Vakilzadeh, Synchronization of non-identical simpleintegral plants, International Journal Control, vol. 50, no. 2, 543–574, 1989
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer Science+Business Media New York
About this chapter
Cite this chapter
Helmke, U., Prätzel-Wolters, D., Schmid, S. (1991). Adaptive Synchronization of Interconnected Linear Systems. In: New Trends in Systems Theory. Progress in Systems and Control Theory, vol 7. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0439-8_44
Download citation
DOI: https://doi.org/10.1007/978-1-4612-0439-8_44
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6760-7
Online ISBN: 978-1-4612-0439-8
eBook Packages: Springer Book Archive