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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See also Sect. 22.9 in Poznyak (2008).
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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).
Poznyak, A.S. (2008), Advanced Mathematical Tools for Automatic Control Engineers, Vol. 1: Deterministic Technique, Elsevier, Amsterdam.
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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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DOI: https://doi.org/10.1007/978-0-8176-8152-4_10
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