Abstract
It is shown that the design procedure proposed to solve the “perfect robust servomechanism” problem [1] has the property that it results in acceptable perturbation bounds with respect to both plant and controller uncertainty.
Preview
Unable to display preview. Download preview PDF.
References
E.J. Davison and B.M. Scherzinger, “Perfect control of the robust servomechanism problem”, IEEE Trans on Automatic Control, vol C-32, no 8, Aug 1987, pp 689–702.
L.H. Keal and S.P. Bhattacharyya, “Robust, fragile, or optimal?”, IEEE Trans on Automatic Control, vol. 42, no 8, 1997, pp 1098–1105.
B.M. Scherzinger and E.J. Davison, “The optimal LQ regulator with cheap control for not strictly proper systems”, Optimal Control Applications and Methods, vol 6, 1985, pp 291–303.
E.J. Davison and A. Goldenberg, “The robust control of a general servomechanism problem: The servo compensator”, Automatica, vol 11, 1975, pp 461–471.
Qiu Li, B. Bernhardsson, A. Rantzer, E.J. Davison, P.M. Young and J.C. Doyle, “A formulae for computation of the real stability radius”, Automatica, vol 31, no 6, 1995, pp 879–890.
E.J. Davison and I. Ferguson, “The design of controllers for the multivariable servomechanism problem using parameter optimization methods”, IEEE Trans on Automatic Control, vol AC-26, no 1, 1981, pp 93–110.
Qiu Li and E.J. Davison, “Performance limitations for non-minimum phase systems in the servomechanism problem”, Automatica, vol 29, no 2, 1993, pp 337–349.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1999 Springer-Verlag London Limited
About this paper
Cite this paper
Davison, E.J. (1999). Optimal controllers which ‘work’ in presence of plant & controller uncertainty. In: Yamamoto, Y., Hara, S. (eds) Learning, control and hybrid systems. Lecture Notes in Control and Information Sciences, vol 241. Springer, London. https://doi.org/10.1007/BFb0109741
Download citation
DOI: https://doi.org/10.1007/BFb0109741
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-85233-076-7
Online ISBN: 978-1-84628-533-2
eBook Packages: Springer Book Archive