An operational, nonlinear input–output system

Optimal Control of Unknown Nonlinear System From Inputoutput Data

An operational , nonlinear input - output system

We develop a scale-dependent nonlinear input-output model which is a practical alternative to the conventional linear counterpart. The model contemplates the possibility of different assumptions on returns-to-scale and is calibrated in a simple manner that closely resembles the usual technical coefficient calibration procedure. Multiplier calculations under this nonlinear version offer interval...

Distributed control of nonlinear diffusion systems by inputoutput linearization

This paper addresses the distributed control by input–output linearization of a nonlinear diffusion equation that describes a particular but important class of distributed parameter systems. Both manipulated and controlled variables are assumed to be distributed in space. The control law is designed using the concept of characteristic index from geometric control by using directly the PDE model...

EasyText: an Operational NLG System

This paper introduces EasyText, a fully operational NLG system. This application processes numerical data (in tables) in order to generate specific analytical commentaries of these tables. We start by describing the context of this particular NLG application (communicative goal, user profiles, etc.). We then shortly present the theoretical background which underlies EasyText, before describing ...

Scaling of global inputoutput networks

Examining scaling patterns of networks can help understand how structural features relate to the behavior of the networks. Input–output networks consist of industries as nodes and inter-industrial exchanges of products as links. Previous studies consider limitedmeasures for node strengths and link weights, and also ignore the impact of dataset choice. We consider a comprehensive set of indicato...