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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 339))

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Abstract

In the preceding chapters, several stabilizing receding-horizon formulations are proposed that involve quite general control parametrization. In the classical literature on the subject however, only the trivial piece-wise constant parametrization is studied. Recall that for systems with scalar control input u ∈ ℝ, this parametrization amounts to use the following parametrization map (see Chapter 1 for the notations):

$$ u^i (p) = p_i \in \mathbb{R}. $$

More generally, for m dimensional control input u ∈ ℝm, the parametrization map is defined by:

$$ u^i (p) = \left( {\begin{array}{*{20}c} {p_{1i} } \\ \vdots \\ {p_{mi} } \\ \end{array} } \right), $$

where p ∈ ℝm·N is the matrix of parameters. This is clearly the most commonly used piece-wise constant control parametrization. On the other hand, it is the parametrization of maximal dimension.

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© 2006 Springer-Verlag London Limited

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(2006). General Stabilizing Formulations for Trivial Parametrization. In: Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes. Lecture Notes in Control and Information Sciences, vol 339. Springer, London. https://doi.org/10.1007/978-1-84628-471-7_5

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  • DOI: https://doi.org/10.1007/978-1-84628-471-7_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-470-0

  • Online ISBN: 978-1-84628-471-7

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