Revista Tinerilor Economiºti (The Young Economists Journal)
Revista Tinerilor Economiºti (The Young Economists Journal)
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)