The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke’s algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal...

OBJECTIVES We aimed to describe the online search trends of Zika and examine their association with Zika incidence, assess the content of Zika-related press releases issued by leading health authorities and examine the association between online trends and press release timing. DESIGN Using Google Trends, the 1 May 2015 to 30 May 2016 online trends of Zika and associated search terms were stu...

With the increasing use of tunnel boring machine (TBM), attempts have been made to predict TBM operating parameters. Prediction parameters is still an important step in adaptability for future. In this study, we employ a walk forward (WF) prediction method based on ARIMAX, which can consider time-varying features and geological conditions. This applied two different projects evaluate its perfor...

This paper proposes and discusses the viability of a short-term grid maximum demand forecasting model combining autoregressive integrated moving average with regressors (ARIMAX) support vector regression (SVR). Grid is essential to generation unit scheduling, maintenance planning system security. Traditionally, forecasted using multivariate linear models parameters adjusted past data. A disadva...

This paper discusses a procedure for model selection in ANFIS time series forecasting with calendar effect. Calendar effect is different from the usual trend and seasonal effects. Therefore, when it occurs, will affect economic activity during that period create new patterns result inaccurate forecasts decision making if not considered. The focus on strategy to find appropriate input variable n...

Demand forecasting works as a basis for operating, business and production planning decisions in many supply chain contexts. Yet, how to accurately predict the manufacturer's demand components presence of end-customer uncertainty remains poorly understood. Assigning proper order quantities suppliers thus becomes nontrivial task, with significant impact on planning, capacity inventory-related co...