Abstract
The purpose of this note is to propose to execute loopshaping by imposing quadratic constraints on open-loop transfer functions. Quadratic constraints are defined to be consistent with feedback stable systems. Then, a robust stability analysis and a loopshaping method under quadratic constraints on open-loop transfer functions are given. Our results provide a general robustness of feedback systems in terms of open-loop transfer functions, including robustness based on gain and phase margins.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
L. H. Keel and S. P. Bhattacharyya: Robust, Fragile, or Optimal?, IEEE Trans. on Automatic Control; Vol. 42, No. 8, pp. 1098–1105 (1997)
M. Vidyasagar: Nonlinear Systems Analysis 2nd Ed., Prentice Hall (1993)
C. A. Desoer and M. Vidyasagar: Feedback Systems: Input-Output Properties; Academic Press, New York (1975)
J. C. Willems: Dissipative Dynamical Systems, Part I and Part II; Arch. Rational Mech. Anal., Vol. 45, pp. 321–393 (1972)
M. J. Chen and C. A. Desoer: Necessary and sufficient condition for robust stability of linear distributed feedback systems; Int. J. Control, Vol. 35, No. 2, pp. 255–267 (1982)
J. C. Doyle, B. A. Francis and A. R. Tannenbaum: Feedback Control Theory; Macmillan Publishing Company (1992)
T. Iwasaki and R. E. Skelton: All Controllers for the General H ∞ Control Problem: LMI Existence Conditions and State Space Formulas, Automatica, Vol. 30, No. 8, pp. 1307–1317 (1994)
K. Zhou with J. C. Doyle and K. Glover: Robust and Optimal Control, Prentice Hall (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1999 Springer-Verlag London Limited
About this paper
Cite this paper
Hodaka, I., Suzuki, M., Sakamoto, N. (1999). Loopshaping by quadratic constraints on open-loop transfer functions. 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/BFb0109743
Download citation
DOI: https://doi.org/10.1007/BFb0109743
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-85233-076-7
Online ISBN: 978-1-84628-533-2
eBook Packages: Springer Book Archive