Comparison function

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In applied mathematics, comparison functions are several classes of continuous functions, which are used in stability theory to characterize the stability properties of control systems as Lyapunov stability, uniform asymptotic stability etc.

Let C(X,Y) be a space of continuous functions acting from X to Y. The most important classes of comparison functions are:

𝒫:={γC(ℝ+,ℝ+):γ(0)=0 and γ(r)>0 for r>0}𝒦:={γ𝒫:γ is strictly increasing}𝒦:={γ𝒦:γ is unbounded}β„’:={γC(ℝ+,ℝ+):γ is strictly decreasing with limtγ(t)=0}𝒦ℒ:={βC(ℝ+×ℝ+,ℝ+):β is continuous, β(,t)𝒦, t0, β(r,)β„’, r>0}

Functions of class 𝒫 are also called positive-definite functions.

One of the most important properties of comparison functions is given by Sontag’s 𝒦ℒ-Lemma,[1] named after Eduardo Sontag. It says that for each β𝒦ℒ and any λ>0 there exist α1,α2𝒦:

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Many further useful properties of comparison functions can be found in.[2][3]

Comparison functions are primarily used to obtain quantitative restatements of stability properties as Lyapunov stability, uniform asymptotic stability, etc. These restatements are often more useful than the qualitative definitions of stability properties given in ε-δ language.

As an example, consider an ordinary differential equation Template:NumBlk where f:ℝnℝn is locally Lipschitz. Then:

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The comparison-functions formalism is widely used in input-to-state stability theory.

References

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  1. ↑ E. D. Sontag. Comments on integral variants of ISS. Systems & Control Letters, 34(1-2):93–100, 1998.
  2. ↑ W. Hahn. Stability of motion. Springer-Verlag, New York, 1967.
  3. ↑ C. M. Kellett. A compendium of comparison function results. Mathematics of Control, Signals, and Systems, 26(3):339–374, 2014.