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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 451))

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Abstract

In this chapter, the problem of regulating a constrained uncertain and/or time-varying linear discrete-time system to the origin subject to bounded disturbances is addressed. The robust counterpart of the interpolation technique generalizes the results presented in the previous chapter, recursive feasibility and robustly asymptotic stability being preserved. In the implicit case, depending on the shape of invariant sets, i.e. polyhedral or ellipsoidal, and depending on the objective functions, i.e. linear or quadratic, at most two LPs or one QP or one LMI problems are solved on-line at each time instant. In the explicit case, the control law is shown to be a piecewise affine function of state.

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Notes

  1. 1.

    Here by robustly asymptotic stability we understand that the state of the closed loop system converges to the minimal robustly positively invariant set [97, 105] of the system,

    $$x(k+1) = \bigl(A(k)+B(k)K\bigr)x(k)+Dw(k) $$

    despite the parameter variation and the influence of additive disturbances.

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Nguyen, HN. (2014). Interpolating Control—Robust State Feedback Case. In: Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems. Lecture Notes in Control and Information Sciences, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-02827-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-02827-9_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02826-2

  • Online ISBN: 978-3-319-02827-9

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