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Keywords: Fuzzy modeling System identification Fuzzy c-regressive model Fuzzy c-means Orthogonal least squares a b s t r a c t This paper proposes a novel approach for identification of Takagi–Sugeno (T–S) fuzzy model, which is based on a new fuzzy c-regression model (FCRM) clustering algorithm. The clustering prototype in fuzzy space partition is(More)
Keywords: Boiler–turbine Fuzzy model System identification Fuzzy c-regressive model a b s t r a c t In order to build accurate model for complicated nonlinear system in engineering, like boiler–turbine system , a novel fuzzy-modeling approach is proposed, which is based on a new fuzzy c-regression model (NFCRM) clustering algorithm and is able to determine(More)
Based on the chaotic oscillator, a method for weak signal detection using information fusion technology is proposed in this paper. On the one hand, various methods are employed to the amplitude detection of the same weak periodic signal, then the detection outcomes are fused by the adaptive weighted fusion method. On the other hand, during the detection(More)
It is important for nonlinear hyperbolic conservation laws (NHCL) to own a simulation scheme with high order accuracy, simple computation, and non-oscillatory character. In this paper, a unified and novel lattice Boltzmann model is presented for solving n-dimensional NHCL with the source term. By introducing the high order source term of explicit lattice(More)
In order to recognize shaft orbits exactly and quickly, a novel recognition method based on Walsh spectrum and support vector machine is proposed in this paper. Firstly, distance vector between the point on the shaft orbit and its center is calculated and obtained. Secondly, the distance vector is transformed by Walsh orthogonal matrix, and obtained Walsh(More)
Haar type orthogonal matrices (HTOMs) include Haar, Walsh and other orthogonal matrices intervenient former two. These matrices not only have fast algorithm but also can be obtained conveniently by varying any one of two parameters in the same program. However, they are rarely utilized in practice. For this reason, HTOMs are applied in the fault diagnosis(More)