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Regulation and Tracking in Nonlinear Systems

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Book cover Lectures in Feedback Design for Multivariable Systems

Part of the book series: Advanced Textbooks in Control and Signal Processing ((C&SP))

Abstract

In this chapter, the problem of asymptotic tracking/rejection of exogenous commands/disturbances for nonlinear systems is discussed. Results that extend those developed earlier in Chap. 4 for linear systems are presented. The discussion follows very closely the analysis of necessary conditions presented in Sect. 4.3 and the construction of a regulator presented in the second part of Sect. 4.6. The construction of an internal model, though, requires a different and more elaborate analysis, for which two alternatives are offered. The chapter is complemented with a discussion of a simple problem of inducing consensus in a network of nonlinear agents.

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Notes

  1. 1.

    See Lemma B.7 in Appendix B.

  2. 2.

    Even if the initial conditions are taken in a compact set, see in this respect Example B.7 in Appendix B.

  3. 3.

    See section B.6 in Appendix B.

  4. 4.

    See again section B.6 in Appendix B.

  5. 5.

    See [6] for a proof.

  6. 6.

    Strictly speaking, it is not necessary to consider here a linear stabilizer. In fact, as it will be seen in the sequel, it suffices that the stabilizer has an equilibrium state yielding \(\bar{u}=0\). However, since essentially all methods illustrated earlier in the book for nonlinear (robust) stabilization use linear stabilizers, in what follow we will consider a stabilizer of this form.

  7. 7.

    Compare with a similar conclusion obtained in the proof of Proposition 4.6.

  8. 8.

    It is instructive to compare these equations with (4.14).

  9. 9.

    The function \(\gamma (\cdot )\) is only guaranteed to be continuous and may fail to be continuously differentiable. Closed-forms expressions for \(\gamma (\cdot )\) and other relevant constructive aspects are discussed in [13].

  10. 10.

    Since W is a compact set, in the condition above only the values of \(\phi (\cdot )\) on a compact set matter. Thus, the assumption that the function is globally Lipschitz can be taken without loss of generality.

  11. 11.

    Note that G is present in the function \(v(w,z,\xi )\) and hence in \(\bar{v}(w,z,\xi )\). Thus, this function depends on \(\kappa \) and, actually, its magnitude grows with \(\kappa \). However, this does not affect the conclusion. Once \(\kappa \) is fixed, the bound on \(\bar{v}(w,z,\xi )\) is fixed as well. The “gain function” \(\vartheta _1(\cdot )\) in (12.30) is influenced by the value of \(\kappa \), but an estimate of this form holds anyway.

  12. 12.

    The model (12.41) should be compared with the case of a model (5.24) with B \(=\) I, that is precisely the case studied in the first part of Sect. 5.5.

  13. 13.

    See section B.4 in Appendix B for the definition of distance of a point from a set.

References

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Isidori, A. (2017). Regulation and Tracking in Nonlinear Systems. In: Lectures in Feedback Design for Multivariable Systems. Advanced Textbooks in Control and Signal Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-42031-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-42031-8_12

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