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This paper describes a new technique to simulate MATLAB system models in PSpice environment. The algorithmic component of the design is developed using MATLAB, and then exported to a C-model which can be read and simulated by PSpice using its newly developed PSpice Device Modeling Interface (DMI). The paper describes in detail the changes required to make the MATLAB C-Model compatible with PSpice...
A detailed analysis of the Hebbian-like learning algorithms applied to train Fuzzy Cognitive Maps (FCMs) is presented in this paper. These algorithms aim to find appropriate weights between the concepts of the FCM so the model equilibrates to a desired state. For this manner, four different types of Hebbian learning algorithms have been proposed in the past. Along with the theoretical description...
This paper addresses two main issues pertaining to currently available failure analysis (FA) techniques that are applicable in early product design stages: (i) their inability in capturing many unanticipated system interactions that lead to many failure modes being left unaccounted for, after FA has been conducted; and (ii) their inability in identifying root causes of failure modes that have already...
The cluster approach is one of the basic methods to pattern classification and system modeling. The clustering target is that according to some rules, divide the sample data set in the sample space into some subsets indicating different patterns or system behavior[1]. In the course of establishing the video image indexing, every step from building index according to the basic visual characters of...
In this paper Normalized Kernel Least Mean Square (NKLMS) algorithm is presented which has applications in system modeling and pattern recognition. In 2007 a similar algorithm was proposed Named Kernel Least Mean Square (KLMS), and a modified version of KLMS was introduced in 2008. Although KLMS has good results in prediction of some time series, high sensitivity to step-size and signal amplitude...
In resent years, research has taken an interest in design of approximation algorithms due to the requirement of these algorithms for solving many problems of science and engineering like system modeling, identification of plants, controller design, fault detection, computer security, prediction of data sets etc. The area of Artificial Immune System (AIS) is emerging as an active and attractive field...
Cement milling circuits are controlled by linear quadratic strategies with the purpose of retaining the circuit stability. Generally, the controlled variables of milling circuits present discontinuities over the range of values they take during the plant operation. The design of linear quadratic control algorithms is based on linear approximations of the nonlinear differential equations that hold...
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