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Optimal control of linear distributed-parameter systems via polynomial series

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TLDR
In this article, the optimal control of a distributed-parameter system is simplified into the solution of a linear two-point boundary value problem, and, as a result, the optimal controller is obtained via a Taylor series.
Abstract
A method for finding the optimal control of linear distributed-parameter systems using polynomial series is discussed. It is known that any polynomial series basis vector can be transformed into a Taylor polynomial by the use of a suitable transformation. In this paper, the optimal control of a distributed-parameter system is simplified into the solution of a linear two-point boundary value problem, and, as a result, the optimal control is obtained via a Taylor series. It is shown that the implementation of Taylor series for this problem involves the use of an ill-conditioned matrix commonly known as the Hilbert matrix. The optimal control of linear distributed-parameter systems using other polynomial series is then calculated by transforming the properties of the Taylor series into other polynomial series. The formulation is straightforward and convenient for digital computation. An illustrative example is given.

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Citations
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Journal ArticleDOI

Numerical solution of linear Fredholm integral equation by using hybrid Taylor and Block-Pulse functions

TL;DR: A combination of Taylor and Block-Pulse functions on the interval [0,1], that is called Hybrid functions, is used to estimate the solution of a linear Fredholm integral equation of the second kind.
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Numerical solution of nonlinear Volterra–Fredholm integral equations using hybrid of block-pulse functions and Taylor series

TL;DR: In this paper, a numerical method based on an NM -set of general, hybrid of block-pulse function and Taylor series (HBT) is proposed to approximate the solution of nonlinear Volterra-Fredholm integral equations.
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Optimal control of a parabolic distributed parameter system via orthogonal polynomials

TL;DR: In this paper, a class of optimal control of systems with distributed parameters is considered, and a direct computational method for evaluating the modal optimal control and trajectory of the linear time-invariant lumped-parameter is suggested.
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Optimal control of a parabolic distributed parameter system via radial basis functions

TL;DR: This paper attempts to present a meshless method to find the optimal control of a parabolic distributed parameter system with a quadratic cost functional using collocation method based on radial basis functions.
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A computational method for solving optimal control of a system of parallel beams using Legendre wavelets

TL;DR: A computationally attractive method based on Legendre wavelet integral operational matrix and the properties of a Kronecker product for solving the optimal control of the lumped parameter systems for any finite interval is proposed.
References
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Book

Numerical Analysis

TL;DR: This report contains a description of the typical topics covered in a two-semester sequence in Numerical Analysis, and describes the accuracy, efficiency and robustness of these algorithms.
Journal ArticleDOI

Optimum systems control

G.M. Siouris
Journal ArticleDOI

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.
Journal ArticleDOI

Analysis and optimal control of time-varying linear systems via block-pulse functions

TL;DR: In this article, the authors apply the operational properties of block-pulse functions to the analysis and optimal control of time-varying linear systems with quadratic performance index.
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