A novel hybrid state space modeling approach for a dual armature generator is presented. The model uses finite element analysis to obtain the rotor angle-dependent parameters, namely flux linkage, stator inductances and cogging torque, which are then incorporated into dynamic equations of using Fourier representations physical parameters as function angle. proposed addresses many limitations cl...

-We present a new state machine that combines two techniques for complex data sequences: Data modeling and frequent sequence mining. This algorithm relies on unstructured variable gap sequence miner, to mine frequent patterns with different gap between elements. Here we will have two variations: Sequence pruning technique for other primary frequent sequences to reduce space complexity and allow...

in this article, the discrete time state space model with first-order autoregressive dependent process noise is considered and the recursive method for filtering, prediction and smoothing of the hidden state from the noisy observation is designed. the explicit solution is obtained for the hidden state estimation problem. finally, in a simulation study, the performance of the designed method ...

Fuzzy State Space Model (FSSM) is a new modeling technique, which was developed for solving inverse problems in multivariable control systems. In this approach, the flexibility of fuzzy modeling is incorporated with the crisp state space models proposed in the modern control theory. The vagueness and uncertainty of the parameters are represented in the model construction, as a way of increasing...

A hierarchical structure of the statistical mod els involving the parametric state space generalized state space and self organizing state space models is explained It is shown that by considering higher level modeling it is possible to devel op models quite freely and then to extract essential information from data which has been di cult to obtain due to the use of restricted models It is also...

The increasing number of space missions and the market environment make it mandatory that the design process and design models have to be reused in future space missions. As a solution to such a reuse problem, Model-Based Systems Engineering (MBSE) is highly recommended. Since constructing a model is the first step to reach MBSE, a 3D state decomposition modeling method is proposed in this pape...

In this paper, a novel technique is introduced for the design of recursive digital filters in the state space form. The Roesser’s state space model has been used for the spatial domain representation of the 2-D causal recursive digital filters. This model divides the local state into a horizontal and a vertical state which are propagated in horizontal and vertical directions respectively. The d...

Combined interaction of all the genes forms a central part of the functional system of a cell. Thus, especially the data-based modeling of the gene expression network is currently one of the main challenges in the field of systems biology. However, the problem is an extremely high-dimensional and complex one, so that normal identification methods are usually not applicable specially if aiming a...