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Revista Tinerilor Economiºti (The Young Economists Journal)

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Economic <strong>The</strong>ories – International Economic Relations<br />

A STUDY ON CONTROL AFFINE SYSTEMS WITH DEGENERATE COST 44<br />

Assoc. Prof. Popescu Liviu Ph.D<br />

University of Craiova<br />

Faculty of Economy and Business Administration,<br />

Craiova, Romania<br />

Abstract: In this paper we study a drift less control affine system with<br />

degenerate cost of Kropina type. We use the Pontryagin Maximum<br />

Principle in order to find the general solution.<br />

JEL classification: C02, C6<br />

Key words: drift less control affine system, degenerate cost, Pontryagin maximum<br />

principle.<br />

1. Introduction<br />

<strong>The</strong> solution of a drift less control affine system (see [1]) is provided by<br />

Pontryagin's Maximum Principle: that is, the curve c(t)=(x(t),u(t)) is an optimal<br />

trajectory if there exists a lifting of x(t) to the dual space (x(t),p(t)) satisfying<br />

Hamilton’s equations.<br />

In this paper we study a drift less control affine system (see also [5], [6]) with<br />

degenerate cost of Kropina type, such that the rank of distribution is not constant. <strong>The</strong><br />

distribution is strong bracket generating (i.e. the vector fields of distribution together<br />

with the first iterated Lie brackets span the entire tangent bundle) and from Chow’s<br />

theorem the system is controllable, that is the system can be brought from any state a to<br />

any other state b.<br />

We find the explicit solution of the problem, using the Hamilton equations on<br />

dual space and a convenient change of variables. In the particular case of quadratic cost,<br />

the optimal trajectories of our system are the geodesics of the so called Grushin plane<br />

(see [2], [4])<br />

2. Control affine systems<br />

Let us consider a drift less control affine system (called also distributional<br />

n<br />

system) in the space R on the form<br />

.<br />

X ( t)<br />

=<br />

m<br />

∑<br />

i=<br />

1<br />

i<br />

u ( t)<br />

X ( x(<br />

t))<br />

with X i , i = 1,...,<br />

m vector fields in n<br />

R and the controls u = ( u1,<br />

u2<br />

,..., um<br />

) take<br />

44 Acknowledgments.This work was supported by the strategic grant<br />

POSDRU/89/1.5/S/61968, Project ID61968 (2009), co-financed by the European Social Fund<br />

within the Sectorial Operational Program Human Resources Development 2007-2013.<br />

117<br />

i<br />

( 1)

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