NON-LINEAR MECHANICAL SYSTEMS IDENTIFICATION USING LINEAR SYSTEMS WITH RANDOM PARAMETERS

2003 ◽  
Vol 17 (1) ◽  
pp. 203-210 ◽  
Author(s):  
S. BELLIZZI ◽  
M. DEFILIPPI
Keyword(s):  
Linear Systems ◽  
Mechanical Systems ◽  
Random Parameters ◽  
Non Linear ◽  
Systems Identification

scholarly journals Non-linear systems identification using radial basis functions

1990 ◽  
Vol 21 (12) ◽  
pp. 2513-2539 ◽  
Author(s):  
S. CHEN ◽  
S. A. BILLINGS ◽  
C. F. N. COWAN ◽  
P. M. GRANT
Keyword(s):  
Linear Systems ◽  
Radial Basis Functions ◽  
Basis Functions ◽  
Non Linear ◽  
Radial Basis ◽  
Systems Identification ◽  
Non Linear Systems

CONTINUOUS-TIME FRACTIONAL ORDER LINEAR SYSTEMS IDENTIFICATION USING CHEBYSHEV WAVELET

2020 ◽  
Vol 6 (8(77)) ◽  
pp. 23-28
Author(s):  
Shuen Wang ◽  
Ying Wang ◽  
Yinggan Tang
Keyword(s):  
Linear Systems ◽  
Fractional Order ◽  
Continuous Time ◽  
Fractional Integration ◽  
Operational Matrices ◽  
Computation Complexity ◽  
Order Linear ◽  
Fractional Integration Operator ◽  
Systems Identification ◽  
Chebyshev Wavelet

In this paper, the identification of continuous-time fractional order linear systems (FOLS) is investigated. In order to identify the differentiation or- ders as well as parameters and reduce the computation complexity, a novel identification method based on Chebyshev wavelet is proposed. Firstly, the Chebyshev wavelet operational matrices for fractional integration operator is derived. Then, the FOLS is converted to an algebraic equation by using the the Chebyshev wavelet operational matrices. Finally, the parameters and differentiation orders are estimated by minimizing the error between the output of real system and that of identified systems. Experimental results show the effectiveness of the proposed method.

Holomorphically projective mappings between generalized m-parabolic Kähler manifolds

Filomat ◽  
2017 ◽  
Vol 31 (15) ◽  
pp. 4865-4873 ◽  
Author(s):  
Milos Petrovic
Keyword(s):  
Linear Systems ◽  
Kähler Manifolds ◽  
Kahler Manifolds ◽  
Covariant Derivatives ◽  
Linearly Independent ◽  
Non Linear ◽  
Non Linear Systems ◽  
Curvature Tensors ◽  
Derivatives Of

Generalized m-parabolic K?hler manifolds are defined and holomorphically projective mappings between such manifolds have been considered. Two non-linear systems of PDE?s in covariant derivatives of the first and second kind for the existence of such mappings are given. Also, relations between five linearly independent curvature tensors of generalized m-parabolic K?hler manifolds with respect to these mappings are examined.

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