Now showing items 1-2 of 2
A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems
(Hindawi Publishing Corporation, 2015)
This paper deals with the convergence of a remote iterative learning control system subject to data dropouts. The system is composed by a set of discrete-time multiple input-multiple output linear models, each one with its ...
Low Effort L-i Nuclear Fusion Plasma Control Using Model Predictive Control Laws
(Hindawi Publishing, 2015)
One of the main problems of fusion energy is to achieve longer pulse duration by avoiding the premature reaction decay due to plasma instabilities. The control of the plasma inductance arises as an essential tool for the ...