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H — Optimal Control, LQG Polynomial Systems Techniques and Numerical Solution Procedures

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Modelling, Robustness and Sensitivity Reduction in Control Systems

Part of the book series: NATO ASI Series ((NATO ASI F,volume 34))

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Abstract

The introductory material first relates the general background of the robustness problem. This is followed by more specific material giving the context for the LQG and polynomial systems approach to the problem of H optimal control design.

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Abbreviations

ℝ:

set of real numbers

n :

n-tuple of real numbers

nxm :

nxm — tuple of real numbers

ℙ(.):

set of polynomials with real coefficients

ℝ(.):

set of ratios a(.)/b(.) where a,b ε ℙ(.)

Toep(A):

Toeplitz matrix formed from A ε ℙ (.)

Toep(A) Δ:

where A = a0 + a1z-1 +...+ anz-n ε ℙ(z-1) and dimensions α, β depend on the order of the polynomial multiplication being represented.

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© 1987 Springer-Verlag Berlin Heidelberg

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Saeki, M., Grimble, M.J., Kornegoor, E., Johnson, M.A. (1987). H — Optimal Control, LQG Polynomial Systems Techniques and Numerical Solution Procedures. In: Curtain, R.F. (eds) Modelling, Robustness and Sensitivity Reduction in Control Systems. NATO ASI Series, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87516-8_21

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  • DOI: https://doi.org/10.1007/978-3-642-87516-8_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-87518-2

  • Online ISBN: 978-3-642-87516-8

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