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
- ℝn :
-
n-tuple of real numbers
- ℝnxm :
-
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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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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