In this paper a robust identification strategy for Wiener like models constituted by a linear dynamic block in series with a Piecewise Linear (PWL) function as the nonlinear static gain is presented. The proposed realization allows straightforward characterization of the static gain uncertainty. A robust Model Predictive Control (MPC) algorithm, using the presented modeling strategy, is develop...

Evolution of the mobile robot is currently characterized by multiple applications in dynamic workspaces and low initial knowledge. In this paper presents aspects of approaching random processes of evolution of a mobile robot in an unstructured environment . The experimental results are used for modeling an infrared sensor (integrated in the mobile robot structure) and to assess the probability ...

Due to the wide acceptance and distribution of mobile devices, it has become increasingly important that an application is able to adapt to a changing environment. This implies the necessity to integrate varying functionality at runtime being activated depending on the current context. A common approach is to foresee and model all possible influencing factors and to integrate the required softw...

We present a modeling framework that supports the engineering of early requirements specifications for design of learner centric dynamic Learning Management System. The framework is based on i* modeling tool and Means End Analysis, that adopts primitive concepts for modeling early requirements (such as actor, goal, and strategic dependency). We show how pedagogical and computational requirement...

Based on the component approach, three kinds of dynamic load models, including a single –motor model, a two-motor model and composite load model have been developed for the stability studies of Khuzestan power system. The study results are presented in this paper. Voltage instability is a dynamic phenomenon and therefore requires dynamic representation of the power system components. Industrial...

Dynamic response analysis of mechanical structures is usually performed by adopting numerical/analytical models. Finite element (FE) modeling as a numerical approach plays an important role in dynamic response analysis of complex structures. The calculated dynamic responses from FE analysis are only reliable if accurate FE models are used. There are many elements in real mechanical structures w...

algal growth and the water quality effects were studied and modeled in the lower reaches of the colusa basin drain as a stream system. statistical techniques such as the correlation matrix and the stepwise multiple regression are performed on such variables as algal biomass, ammonia, nitrate, orthophosphate, temperature, and the solar radiation intensity in deriving an algae statistical model. ...

In this paper, we investigated the use of seasonal autoregressive integrated moving average (SARIMA) time series models for fault detection in semiconductor etch equipment data. The derivative dynamic time warping algorithm was employed for the synchronization of data. The models were generated using a set of data from healthy runs, and the established models were compared with the experimental...

Prediction of the next-crossing cell is an important issue for mobility and connection management in wireless radio networks. In this paper, we propose a new approach to modeling inter-cell user mobility, and develop an optimum self-learning estimator for trajectory tracking and next-crossing cell prediction. The dynamic states of movement, in terms of speed and position, are obtained by modeli...