this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

Output gap estimates are used in the calculation of structural fiscal balance indicators which are subsequently employed for the surveillance of economic growth and stability. This paper reviews the main methodologies for estimating the potential output and output gap. Methodologies can be grouped into two categories: the non-structural ones, which are not based on economic theory and are mainl...

This paper studies the implication of unit root supply shocks for the Taylor rule. I find that, when supply shocks have a unit root, if a central bank wishes to guarantee the stationarity of inflation, then their interest rate reaction function should not respond to the output gap. Once the stationarity of inflation is guaranteed by the output-gap-response parameter, the ‘‘Taylor principle’’ ca...

A capital issue in roll-gap control for rolling mill plants is the difficulty to measure the output thickness without including time delays in the control loop. Time delays are a consequence of the possible locations for the output thickness sensor which is usually located some distance away from the roll gap. In this work, a new model-based predictive control law is proposed. The new scheme is...

During the past two decades, maintenance of low inflation, “price stability,” has become the principal focus of central banks around the world. At the same time, the view has emerged that monetary policy is better suited than fiscal policy for short-run stabilization purposes. This paper examines to what extent monetary policy can be directed at both “monetary stabilization,” stabilizing inflat...

Skilled use of tools requires us to learn an "input-output map" for the device, i.e., how our movements relate to the actions of the device. We used the paradigm of visuo-motor rotation to examine two questions about the plasticity of input-output maps: 1) does extensive practice on one mapping make it difficult to modify and/or to form a new input-output map and 2) once a map has been modified...