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A new approach to the modelling uncertainty problem of systems described in state space form

  • Control Of Uncertain Dynamical Systems
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Modeling and Control of Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 121))

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Abstract

Modelling of systems is generally done by frequency response methods or state variable methods. It is our object to show how frequency domain robustness results can be extrapolated to their state space counterpart. Using properties of input-output relations of systems and different compatible norms we will show how a corresponding frequency response robustness result can be applied. The method can be used to solve a certain class of non linear equations. It can apply to the control of non linear multivariable systems in order to better stability, sensitivity as well as decentralized control results. It can also apply to assess the state feedback, the output feedback and the observer with regard to the robustnees problem.

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References

  1. M.H. Rosenbrock, "Design of Multivariable Control Systems Using the Inverse Nyquist Array", IEEE Procedings, vol. 116, no. 11, November 1969.

    Google Scholar 

  2. J.F. Barman and J. Katzenelson, "The Generalized Nyquist Type Stability Criterion for Multivariable Feedback Systems", International Journal of Control, vol. 20, pp. 593–622, 1974.

    Google Scholar 

  3. A.G.J. MacFarlane and I. Postlewaite, "The Generalized Nyquist Stability Criterion and Multivariable Root Loci", International Journal of Control, vol. 25, pp. 81–127, 1977.

    Google Scholar 

  4. G. Zames, "Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses", IEEE Trans on Automatic Control, Vol. AC-26, No.3, pp. 301–320, 1981.

    Google Scholar 

  5. G. Zames and B.A. Francis, "Feedback, Minimax Sensitivity, and Optimal Robustness", IEEE Trans. on Automatic Control, Vol. AC-28, No. 5, pp. 585–601, May 1983.

    Google Scholar 

  6. B.A. Francis and G. Zames, "On H Optimal Sensitivity Theory for SISO Feedback Systems", IEEE Tran. on Automatic Control, Vol. AC-29, No. 1, pp. 9–16, January 1984.

    Google Scholar 

  7. B.A. Francis, J.W. Helton and G. Zames, "H Optimal Feedback Controllers for Linear Multivariable Systems", IEEE Transactions on Automatic Control, Vol. AC-29, No. 10, pp.888–900, October 1984.

    Google Scholar 

  8. C. Foias, A. Tannenbaum and G. Zames, "Weighted Sensitivity Minimization for Delay Systems", Proceedings of 24th Conference on Decision and Control, Ft. Lauderdale, Florida, pp. 244–249, December 1985.

    Google Scholar 

  9. D. Bensoussan, "Decentralized Control In Non Linear Systems", Proceeding of the 25th IEEE Conference on Detection and Control, Athens, Greece, pp. 865–867, December 10–12th 1986.

    Google Scholar 

  10. Bensoussan, David, "Sensitivity Reduction in Single Input Single Output Systems", International Journal of Control, vol. 39, no. 2, pp. 321–335, 1984.

    Google Scholar 

  11. D. Bensoussan, "Decentralized Control and Sensibility Reduction in Weakly Coupled Systems", International Journal of Control, Vol. 40, No. 6, pp. 1099–1118, 1984.

    Google Scholar 

  12. G. Zames and D. Bensoussan, "Multivariable Feedback, Sensitivity, and Decentralized Control", IEEE Trans. on Automatic Control, Vol. AC-28, No. 11, pp. 1030–1035, November 1983.

    Google Scholar 

  13. D. Bensoussan, "Commande décentralisée de systèmes multivariables avec incertitude de modélisation", AMSE Conf. on Modeling and Simulation, June 17–29, 1984.

    Google Scholar 

  14. D. Bensoussan, "Robustesse et commande décentralisée des systèmes multivariables non linéaires", Proceedings of the Seventh International Conference on Analysis and Optimization of Systems. INRIA, Springer Verlag, Volume 83, pp. 630–645.

    Google Scholar 

  15. J.S. Freudenberg and D.P. Looze. "Right half Plane Poles and Zeros and Design Trade offs in Feedback Systems." IEEE Transactions on Automatic Control, AC-30, p. 555, 1985.

    Google Scholar 

  16. S.D. O'Young and B.A. Francis, "Optimal Performance and Robust Stabilisation", Automatica, To appear.

    Google Scholar 

  17. S.D. O'Young and B.A. Francis, "Sensitivity Trade-offs for Multivariable Plants", IEEE Transactions on Automatic Control. AC-30. p. 625, 1985.

    Google Scholar 

  18. H. Kwakernaak, "Minimax Frequency Domain Performance and Robustness Optimization of Linear Feedback Systems", IEEE Transactions on Automatic Control, vol. AC-30, No. 10, October 1985, pp.994–1004.

    Google Scholar 

  19. G. Zames, "On the Input Output Stability of Time Varying Non Linear Systems. Part I", IEEE Trans on Automatic Control, Vol. AC-11, No. 2, pp. 228–238, April 1966.

    Google Scholar 

  20. G. Zames, "On the Input Output Stability of Time Varying Non Linear Systems — Part II", IEEE Trans on Automatic Control, Vol. AC-11, No. 3, pp. 465–476, July 1966.

    Google Scholar 

  21. Bensoussan, David, "On the Equivalence between State Space and Frequency Response Models: A Missing Link for the Study of the Robustness Problem", Proceedings of the 26th IEEE Conference on Decision and Control, Los Angeles, California, December 9–11, 1987

    Google Scholar 

  22. G. A. Johnson, Appendix of the paper "Linear Adaptive Control Via Disturbance Accomodation, Some Case Studies", Proceedings of the American Control Conference, Washingston, vol. 1, p.546, June 1986.

    Google Scholar 

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Austin Blaquiére

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© 1989 Springer-Verlag

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Bensoussan, D. (1989). A new approach to the modelling uncertainty problem of systems described in state space form. In: Blaquiére, A. (eds) Modeling and Control of Systems. Lecture Notes in Control and Information Sciences, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0041190

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  • DOI: https://doi.org/10.1007/BFb0041190

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-50790-1

  • Online ISBN: 978-3-540-46087-9

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