Amir Baniamerian

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The fault detection and isolation (FDI) problem for discrete-time two-dimensional (2D) systems represented by the Fornasini-Marchesini model II is investigated in this work. It is shown that the sufficient conditions for solvability of the FDI problem that we have developed recently for the Roesser model is also applicable to this class of 2D systems. In(More)
There are some methods for finding the shortest path in fuzzy graphs. If the weight of an edge changes in the graph, the updated shortest path is calculated only by re-running the methods. In this paper, a new method to update the pre-calculated shortest path is presented which is definitely more efficient than completely re- executing the shortest path(More)
In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our proposed health monitoring framework, the well-known particle filtering method is utilized to estimate the states as well as the health(More)
In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time twodimensional (2D) systems that are represented by the Fornasini-Marchesini model II (FMII). This is accomplished by generalizing the geometric approach of one-dimensional (1D) systems to 2D systems. The basic invariant subspaces including unobservable,(More)
A key issue in intelligent demand-side management is the accurate prediction of electricity consumption. This paper presents a dynamic model for short-term special days load forecasting which uses a Recurrent Wavelet Network (RWN). However, initialization of this network encounters a major problem. Thus, a new initialization method is suggested based on(More)
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