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In this paper, we explored a new way for linear circuit transient analysis based on the accompanying network method. This new method is simple and convenient, tries to avoid differential equation from the beginning of the establishment of circuit equations, makes use of accompanying network by which the transient process can be divided into a series of discrete time intervals Δt, replaces the dynamic...
The first part of this study develops a general architecture for estimation and prediction of hybrid-state systems. The proposed system utilizes the hybrid characteristics of decision-behaviour coupling of many systems such as the driver and the vehicle; uses estimates of observable parameters to track instantaneous discrete state and predicts the most likely outcome, depending on the discrete model...
This paper presents an method for evaluating the performance of production lines with a finite buffer and two unreliable machines. In this system, each machine can fail in more than one way, and the buffer also can fail. We study the transitions of the states probabilities based on the discrete model, a corresponding algorithm are developed here, and an approximate technique is proposed to evaluate...
An algorithm of coupled field-circuit simulation of the dynamics of an electromagnetic linear actuator operating in error actuated control system is presented. The software consists of three main parts: (a) numerical model of the actuator dynamics which includes equations of a transient electromagnetic field in a non-linear conducting and moving medium, (b) discrete model of electric circuit and (c)...
A new modulation and control strategy for a matrix converter induction motor drive is presented in this paper. A discrete model of the converter, motor and input filter is used to predict the behaviour of torque, flux and input power of the system. The switching state that optimizes the value of a quality function is selected. The predictive control method, referred to as predictive torque control...
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