The objective of this chapter is to give the reader a basic knowledge of how robustness problems arise and what tools are available to identify and avoid them.


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  1. Lundström, P., Skogestad, S., and Wang, Z-Q. (1991). Performance weight selection for H- infinity and µ-control methods. Trans. In- strum. Measurement Control 13, 241–252. London, UK: The Institute of Measurement and Control.Google Scholar
  2. Maciejowski, J. M. (1989). Multivariable Feedback Design. Reading, MA: Addison-Wesley.Google Scholar
  3. Morari, M. and Zafiriou, E. (1989). Robust Process Control. Englewood Cliffs, NJ: Prentice- Hall.Google Scholar
  4. Shinskey, F. G. (1984). Distillation Control, 2nd ed. New York: McGraw-Hill.Google Scholar
  5. Skogestad, S. and Morari, M. (1987). Implication of large RGA-elements on control performance. Ind. Eng. Chem. Res. 26, 2323–2330.CrossRefGoogle Scholar
  6. Skogestad, S., Morari, M., and Doyle, J. C. (1988). Robust control of ill conditioned plants: High-purity distillation. IEEE Trans. Autom. Control 33, 1092–1105.CrossRefGoogle Scholar
  7. Skogestad, S., Lundström, P., and Jacobsen, E. W. (1990). Selecting the best distillation control structure.AIChE J. 36, 753–764.CrossRefGoogle Scholar
  8. Yu, C. C. and Luyben, W. L. (1987). Robustness with respect to integral controllability. Ind. Eng. Chem. Res. 26, 1043–1045.CrossRefGoogle Scholar

Copyright information

© Van Nostrand Reinhold 1992

Authors and Affiliations

  • Sigurd Skogestad
    • 1
  1. 1.University of TrondheimNorway

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