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\(L_2\)-Gain and the Small-Gain Theorem

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Part of the book series: Communications and Control Engineering ((CCE))

Abstract

In this chapter we elaborate on the characterization of finite \(L_2\)-gain for state space systems, continuing on the general theory of dissipative systems.

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Notes

  1. 1.

    Or assuming the existence of coordinates in which g(x) is constant, which is, under the assumption that \({\mathrm {rank}}g(x)=m\), equivalent to the Lie brackets of the vector fields \(g_1, \ldots , g_m\) defined by the columns of g(x) to be zero [233].

  2. 2.

    The typical situation being that each row in the \(\mathcal {A}\) matrix contains only one 1. Multiple occurrence of ones in a row is allowed but will imply an equality constraint on the corresponding outputs, leading to algebraic constraints between the state variables.

  3. 3.

    The subsequent argumentation directly extends to the case of non-differentiable storage functions, replacing the differential dissipation inequalities by their integral counterparts.

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Correspondence to Arjan van der Schaft .

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van der Schaft, A. (2017). \(L_2\)-Gain and the Small-Gain Theorem. In: L2-Gain and Passivity Techniques in Nonlinear Control. Communications and Control Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-49992-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-49992-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49991-8

  • Online ISBN: 978-3-319-49992-5

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