minimum principle and controllability for multiparameter discrete inclusions via derived cones
;Aurelian Cernea
Journal of the American Heart Association2006Vol. 2006pp. -
98
cernea2006discreteminimum
Abstract
We consider a multiparameter discrete inclusion and we prove that the reachable set of a certain variational multiparameter discrete inclusion is a derived cone in the sense of Hestenes to the reachable set of the discrete inclusion. This result allows to obtain sufficient conditions for local controllability along a reference trajectory and a new proof of the minimum principle for an optimization problem given by a multiparameter discrete inclusion with endpoint constraints.