Analysis and parameter estimation of bilinear systems via generalized orthogonal polynomials

1987 ◽  
Vol 46 (2) ◽  
pp. 719-729 ◽  
Author(s):  
MAW-LING WANG ◽  
RONG-YEU CHANG ◽  
SHWU-YIEN YANG
Keyword(s):  
Parameter Estimation ◽  
Orthogonal Polynomials ◽  
Bilinear Systems ◽  
Generalized Orthogonal Polynomials ◽  
Generalized Orthogonal

Application of Generalized Orthogonal Polynomials to Parameter Estimation of Time-Invariant and Bilinear Systems

1987 ◽  
Vol 109 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Maw-Ling Wang ◽  
Shwu-Yien Yang ◽  
Rong-Yeu Chang
Keyword(s):  
Parameter Estimation ◽  
Orthogonal Polynomial ◽  
Orthogonal Polynomials ◽  
Computational Algorithm ◽  
State Equation ◽  
Dynamic State ◽  
Generalized Orthogonal Polynomials ◽  
Generalized Orthogonal ◽  
Time Invariant ◽  
Estimation Of Time

Generalized orthogonal polynomials (GOP) which can represent all types of orthogonal polynomials and nonorthogonal Taylor series are first introduced to estimate the parameters of a dynamic state equation. The integration operation matrix (IOP) and the differentiation operation matrix (DOP) of the GOP are derived. The key idea of deriving IOP and DOP of these polynomials is that any orthogonal polynomial can be expressed by a power series and vice versa. By employing the IOP approach to the identification of time invariant systems, algorithms for computation which are effective, simple and straightforward compared to other orthogonal polynomial approximations can be obtained. The main advantage of using the differentiation operation matrix is that the parameter estimation can be carried out starting at an arbitrary time of interest. In addition, the computational algorithm is even simpler than that of the integral operation matrix. Illustrative examples for using IOP and DOP approaches are given. Very satisfactory results are obtained.

scholarly journals A new proof of a theorem about generalized orthogonal polynomials

1991 ◽  
Vol 14 (2) ◽  
pp. 393-397
Author(s):  
A. McD. Mercer
Keyword(s):  
Orthogonal Polynomial ◽  
Orthogonal Polynomials ◽  
Recent Result ◽  
Asymptotic Distribution ◽  
Generalized Polynomials ◽  
Generalized Orthogonal Polynomials ◽  
Generalized Orthogonal ◽  
Polynomial Theory

In this note it is shown that a fairly recent result on the asymptotic distribution of the zeros of generalized polynomials can be deduced from an old theorem ofG. Polya, using a minimum of orthogonal polynomial theory.

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