A pointwise constrained version of the Liapunov convexity theorem for vectorial linear first-order control systems
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文摘
We generalize the Liapunov convexity theorem's version for vectorial control systems driven by linear ODEs of first-order p=1, in any dimension d∈N, by including a pointwise state-constraint.

More precisely, given a View the MathML source solving the convexified p  -th order differential inclusion View the MathML source a.e., consider the general problem consisting in finding bang-bang solutions (i.e. View the MathML source a.e.) under the same boundary-data, View the MathML source & View the MathML source (k=0,1,…,p−1); but restricted, moreover, by a pointwise state constraint of the type View the MathML source (e.g. ω=(1,0,…,0) yielding View the MathML source).

Previous results in the scalar d=1 case were the pioneering Amar & Cellina paper (dealing with a056ea60420">View the MathML source), followed by Cerf & Mariconda results, who solved the general case of linear differential operators Lp of order p≥2 with View the MathML source-coefficients.

This paper is dedicated to: focus on the missing case p=1, i.e. using View the MathML source; generalize the dimension of x(⋅), from the scalar case d=1 to the vectorial d∈N case; weaken the coefficients, from continuous to integrable, so that A(⋅) now becomes a d×d-integrable matrix; and allow the directional vector ω   to become a moving AC function ω(⋅).

Previous vectorial results had constant ω  , no matrix (i.e. A(⋅)≡0) and considered: constant control-vertices (Amar & Mariconda) and, more recently, integrable control-vertices (ourselves).

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