System Identification of Inventory System Using ARX and ARMAX Models
نویسندگان
چکیده
This paper presents a mathematical model of an inventory system from the warehouse of goods Distribution Company using system identification approach. Considering items ordered from suppliers and items shipped to customers, as the inputs of the system and the stock level as the output system. In this paper, ARX model and ARMAX model are outlined and compared. The performances of each type of model are highlighted. A case study with real data set is discussed.
منابع مشابه
Identification of a Two-input System: Variance Analysis
This paper examines the identification of a single-output two-input system. Motivated by an experiment design problem (should one excite the two inputs simultaneously or separately), we examine the effect of the (second) input signal on the variance of the various polynomial coefficients in the case of FIR, ARX, ARMAX, OE and BJ models. A somewhat surprising result is to show that the addition ...
متن کاملModel Predictive Control System Design using ARMAX Identification Method for Car-following Behavior
The control of car following is essential due to its safety and its operational efficiency. For this purpose, this paper builds a model of car following behavior based on ARMAX structure from a real traffic dataset and design a Model Predictive Control (MPC) system. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehic...
متن کاملNonlinear On-line Identification of Dynamic Systems with Restricted Genetic Optimization
This paper presents an improved on-line identification method of non-linear time-varying dynamic systems with linear and non-linear models . This method is based on Genetic algorithms with a new technique to simulate the behaviour of the gradient method without using the concept of derivatives. This method uses an on-line identification algorithm that begins by calculating what ARX model adapts...
متن کاملComparison of six models of the respiratory system based on parametric estimates from three identification models.
The identification of respiratory impedance based on mathematical models and the consequent assessment of respiratory work propose an aid to adequately setting ventilatory support. We compared the respiratory models RC, RIC, eRC, eRIC, aRC and aRIC using parametric identification by ARX, ARMAX and OE and data from simulations, volunteers and patients. The comparison bases on the quality of the ...
متن کاملARX-Model based Model Predictive Control with Offset-Free Tracking
ARX models, is a suitable model class for linear control implementations. The parameter estimation problem is convex and easily handed for both SISO and MIMO system in contrast to ARMAX or State Space model. Model predictive control implementations insuring offset-free tracking are discussed and related. Special attention is given to an adaptive disturbance estimation method with time-varying f...
متن کامل