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Linear Multimodel Time Optimization

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Part of the book series: Systems & Control: Foundations & Applications ((SCFA))

Abstract

Robust time optimality can be considered as a particular case of the Lagrange problem, and therefore, the results obtained in the previous chapters allow us to formulate directly the Robust Maximum Principle for this time-optimization problem. As is shown in Chap. 8, the Robust Maximum Principle appears only as a necessary condition for robust optimality. But the specific character of the linear time-optimization problem permits us to obtain more profound results: in this case the Robust Maximum Principle appears as a necessary and sufficient condition. Moreover, for the linear robust time optimality it is possible to establish some additional results: the existence and uniqueness of robust controls, the piecewise constancy of robust controls for a polyhedral resource set, and a Feldbaum-type estimate for the number of intervals of constancy (or “switching”). All these aspects are studied below in detail.

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Notes

  1. 1.

    See also Sect. 22.9 in Poznyak (2008).

  2. 2.

    Note that this plant is strongly compressible if \(\lambda >\sqrt{2}g\), where λ is the smallest of the numbers λ αi and g is the greatest of the numbers g αi; but in the general case it is not strongly compressible.

References

  • Feldbaum, A. (1953), ‘Optimal processes in systems of automatic control’, Avtom. Telemeh. 14(6), 712–728 (in Russian).

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  • Poznyak, A.S. (2008), Advanced Mathematical Tools for Automatic Control Engineers, Vol. 1: Deterministic Technique, Elsevier, Amsterdam.

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Correspondence to Vladimir G. Boltyanski .

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© 2012 Springer Science+Business Media, LLC

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Boltyanski, V.G., Poznyak, A.S. (2012). Linear Multimodel Time Optimization. In: The Robust Maximum Principle. Systems & Control: Foundations & Applications. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-0-8176-8152-4_10

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