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Walsh operational matrices for fractional calculus and their application to distributed systems

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TLDR
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.
Abstract
The Walsh operational matrix for performing integration and solving state equations is generalized to fractional calculus for investigating distributed systems. A new set of orthogonal functions is derived from Walsh functions. By using the new functions, the generalized Walsh operational matrices corresponding to √s, √(s2 + 1), e-s and e-√s etc. are established. Several distributed parameter problems are solved by the new approach.

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Citations
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Haar wavelet method for solving lumped and distributed-parameter systems

TL;DR: In this article, an operational matrix of integration based on Haar wavelets is established, and a procedure for applying the matrix to analyse lumped and distributed-parameters dynamic systems is formulated.
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The legendre wavelets operational matrix of integration

TL;DR: In this article, an operational matrix of integration P based on Legendre wavelets is presented, and a general procedure for forming this matrix is given. Illustrative examples are included to demonstrate the validity and applicability of the matrix P.
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On the role of fractional calculus in electromagnetic theory

TL;DR: In this paper, the concept of fractional derivatives/integrals has been applied in several specific electromagnetic problems, and promising results and ideas that demonstrate that these mathematical operators can be interesting and useful tools in electromagnetic theory.
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Kronecker operational matrices for fractional calculus and some applications

TL;DR: The Kronecker convolution product is introduced and expanded to the Riemann-Liouville fractional integral of matrices and several operational matrices for integration and differentiation are studied.
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Chebyshev series approach to system identification, analysis and optimal control

TL;DR: The Chebyshev series approach appears to have certain advantages over other orthogonal series, and they may therefore be more suitable for the study of the problems of identification, analysis and optimal control.
References
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Journal ArticleDOI

Approximation of Fractional Capacitors (1/s)^(1/n) by a Regular Newton Process

TL;DR: In this article, a third-order Newton process for approximating (l/s) √ 1/n}, the general fractional capacitor, for any integer n > 1 is presented.
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A state-space approach to Walsh series solution of linear systems

TL;DR: In this paper, a state-space procedure for solving linear dynamic systems by the Walsh series is developed, where a new operational matrix plays the main role and a new Kronecker product formula is established.
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Design of piecewise constant gains for optimal control via Walsh functions

TL;DR: This paper presents a technique for determinating time-varying feedback gains of linear systems with quadratic performance criteria by developing an operational matrix for solving state equations and solving the piecewise constant gains problem.
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A walsh series direct method for solving variational problems

TL;DR: In this article, a clear procedure for the variational problem solution via the Walsh functions is established and an operational matrix is derived for integration use, by means of the direct method using the Walsh series.
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Solution of differential and integral equations with Walsh functions

TL;DR: In this paper, a Walsh series is expressed as a series of Walsh functions, and the coefficients of the input series will change, but there will be no new terms not in the original groups.