2011 International Conference on Recent Trends in Information Technology (ICRTIT) 2011
DOI: 10.1109/icrtit.2011.5972291
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Optimal control for fuzzy linear partial differential algebraic equations using Simulink

Abstract: In this paper, optimal control for fuzzy linear partial differential algebraic equations (FPDAE) with quadratic performance is obtained using Simulink. By using the method of lines, the FPDAE is transformed into a fuzzy differential algebraic equations (FDAE). Hence, the optimal control of FPDAE can be found out by finding the optimal control of the corresponding FDAE. The goal is to provide optimal control with reduced calculus effort by the solutions of the matrix Riccati differential equation (MRDE) obtaine… Show more

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Cited by 1 publication
(1 citation statement)
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“…Many complex technical systems throughout science and engineering are easily modeled by Partial Differential-Algebraic Equations (PDAEs). This type of equations arise in nanoelectronics [1], electrical networks [2], [3], [4], mechanical systems [5] and many other applications [6], [7], [8], [9], [10], [11], [12], [13], [14].…”
Section: Introductionmentioning
confidence: 99%
“…Many complex technical systems throughout science and engineering are easily modeled by Partial Differential-Algebraic Equations (PDAEs). This type of equations arise in nanoelectronics [1], electrical networks [2], [3], [4], mechanical systems [5] and many other applications [6], [7], [8], [9], [10], [11], [12], [13], [14].…”
Section: Introductionmentioning
confidence: 99%