In this article, we present a not fully connected recurrent network applied to the problem of load forecasting. Although many authors have pointed out that Recurrent Networks were able to modelize NARMAX process (Non linear Auto Regressive Moving Average with eXogeneous variables), we present a constructing scheme for the MA part. In addition we present a modification of the learning step which...

Semiautogenous (SAG) mills for ore grinding are large energy consumption equipments. The SAG energy consumption is strongly related to the fill level of the mill. Hence, on-line information of the mill fill level is a relevant state variable to monitor and drive in SAG operations. Unfortunately, due to the prevailing conditions in a SAG mill, it is difficult to measure and represent from first ...

The RobotMODIC project run by the Universities of Essex and Sheffield investigates ways of quantitative description and accurate, transparent modelling of robot-environment interaction. Transparent, analysable models allow the evaluation of robot controllers with regard to issues such as stability, relevance of individual sensor perceptions for the control task at hand, and quantitative compari...

The 400,000 km Volta Basin is an international basin covering almost 28% of the West Coast. Basin of Africa. It extends from longitude 5 30 W to 2 00E and from latitude 5 30 N to 14 30 N and is shared by the six West African countries Benin, Togo, Ghana, La Cote d’Ivoire, Burkina Faso and Mali. The water resources of this basin are under severe stress due to both human and natural causes. High ...

This paper presents a new control strategy for a class of non-Gaussian stochastic systems so that the output probability density function (PDF) of the system can be made to follow a desired PDF. The system considered is represented by an Nonlinear AutoRegressive and Moving Average with eXogenous (NARMAX) inputs with input channel time-delay and non-Gaussian noise. Amulti-step-ahead nonlinear cu...

This brief investigates the use of prior knowledge in the parameter estimation of NARMAX polynomial models. The problem of parameter estimation is then formulated in such a way that the estimated models have specified features. This formulation results in a constrained optimization problem, which is solved using the ellipsoid algorithm. This technique is applied to a real dc–dc Buck converter. ...

Identi cation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di7erent approaches are considered: NARX models, and neural network models, namely multilayer perceptrons, radial basis function networks and B-spline networks. A special att...