Journal ArticleDOI
Solutions of linear dynamic systems by generalized orthogonal polynomials
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TLDR
In this paper, generalized orthogonal polynomials that represent all types of orthogonality functions are introduced and the operational matrix for integration of a generalized polynomial is derived and then applied to solve the equations of linear dynamic systems.Abstract:
Generalized orthogonal polynomials that represent all types of orthogonal polynomial are introduced in this paper. Using the idea of orthogonal polynomial functions that can be expressed by power series, and vice versa, the operational matrix for integration of a generalized orthogonal polynomial is first derived and then applied to solve the equations of linear dynamic systems. The characteristics of each kind of orthogonal polynomial in relation to solving linear dynamic systems is demonstrated. The computational strategy for finding the expansion coefficients of the state variables is very simple, straightforward and easy. The operational matrix is simpler than those of conventional orthogonal polynomials. Hence the expansion coefficients are more easily calculated from the proposed recursive formula when compared with those obtained from conventional orthogonal polynomial approximations.read more
Citations
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An efficient computational scheme for the analysis of periodic systems
Subhash C. Sinha,D.-H. Wu +1 more
TL;DR: A new efficient numerical scheme for the stability analysis of linear systems with periodic parameters is suggested based on the idea that the state vector and the periodic matrix of the system can be expanded in terms of Chebyshev polynomials over the principal period.
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The control of linear time-periodic systems using Floquet–Lyapunov theory
TL;DR: In this article, the periodicity of one of the factors can be determined a priori using a constant matrix, which is called the Yakubovich matrix, based upon the signs of the eigenvalues of the monodromy matrix.
Stability of a Time-Delayed System With Parametric
TL;DR: In this paper, a discrete linear map is obtained by approximating the exact solution with a series expansion of orthogonal polynomials constrained at intermittent nodes, which is used to determine the unstable parameter domains.
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Stability of a Time-Delayed System With Parametric Excitation
TL;DR: In this paper, a discrete linear map is obtained by approximating the exact solution with a series expansion of orthogonal polynomials constrained at intermittent nodes, which is used to determine the unstable parameter domains.
Journal ArticleDOI
A new approach for parameter identification of time-varying systems via generalized orthogonal polynomials
TL;DR: In this article, a method of using the generalized orthogonal polynomials (GOP) for identifying the parameters of a process whose behaviour can be modelled by a linear differential equation with time-varying coefficients in the form of finite-order polynomial is presented.
References
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Journal ArticleDOI
Handbook of Mathematical Functions
Book
The method of weighted residuals and variational principles
TL;DR: In this article, the method of Weighted Residuals is used to solve boundary-value problems in heat and mass transfer problems, and convergence and error bounds are established.
Journal ArticleDOI
Walsh operational matrices for fractional calculus and their application to distributed systems
C.F. Cheng,Y.T. Tsay,Tao Wu +2 more
TL;DR: In this paper, the Walsh operational matrix for performing integration and solving state equations is generalized to fractional calculus for investigating distributed systems and a new set of orthogonal functions is derived from Walsh functions.
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