The diffusion of renewable electricity technologies is widely considered as crucial for
establishing a sustainable energy system in the future. However, the required transition is …

OPTCON is an algorithm for the optimal control of nonlinear stochastic systems which is
particularly applicable to economic models. It delivers approximate numerical solutions to …

This paper deals with the possibilities of designing optimal fiscal policy under uncertainty.
First, different forms of uncertainty are discussed for economic policy analysis and design …

Optimal control of dynamic econometric models has a wide variety of applications including
economic policy relevant issues. There are several algorithms extending the basic case of a …

Policy makers constantly face optimal control problems: what controls allow them to achieve
certain targets in, eg, GDP growth or inflation? Conventionally this is done by applying …

In this paper, we study different and, in particular,“optimal” reactions of fiscal (and to some
extent monetary) policies to the financial and economic crisis of 2007–2009 in Slovenia, a …

This chapter of the Handbook of Computational Economics is mostly about research on
active learning and is confined to discussion of learning in dynamic models in which the …

Linear-quadratic (LQ) optimization is a fairly standard technique in the optimal control
framework. LQ is very well researched, and there are many extensions for more …

A nonlinear optimal (H-infinity) control approach is proposed for the problem of stabilization
of the dynamics of a macroeconomic development model that is known as the Grossman …

We investigate how fiscal policies should be designed in Slovenia during the next few years.
Using the SLOPOL model, an econometric model of the Slovenian economy, we analyze the …