We propose a meta-heuristic approach for solving nonlinear dynamic tracking games. In contrast to more "traditional" methods based on linear-quadratic (LQ) techniques, this derivative-free method is very flexible (e.g. to introduce inequality constraints). The meta-heuristic is applied to a...

The linear-quadratic (LQ) optimization is a close to standard technique in the optimal control framework. LQ is very well researched and there are many extensions for more sophisticated scenarios like nonlinear models. Usually, the quadratic objective function is taken as a prerequisite for...

In this paper, we investigate the trade-off between the need for budget consolidation and the desirability of expansionary fiscal policies as a means of demand management by simulating alternative scenarios with a macroeconometric model of the Slovenian economy. The simulations show that for the...