2019
DOI: 10.1109/access.2019.2951058
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Stabilization and Stability Robustness of Coupled Non-Constant Parameter Time Fractional PDEs

Abstract: This paper considers observer-based output feedback stabilization and stability robustness against small diffusivity perturbations of coupled time fractional partial differential equations (PDEs) with space-dependent (non-constant) parameters. Herein, the plant is equipped with the only available measurement at x = 0 and actuation at x = 1. By backstepping transformation, the well-posedness of the kernel matrix PDE and the observer gains are obtained. Then an output feedback controller is introduced and the Mi… Show more

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Cited by 5 publications
(5 citation statements)
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“…Remark Output feedback stabilization for fractional PDEs with one‐dimensional spacial variable was studied in several works [9‐13], but they did not investigate how to cope with the multidimensional spacial variable. Considering that the practical significance and physical description of extending the results for PDEs to coupled systems with multidimensional spacial variables are more important, Theorems 2 and 3 provide the stabilization design of spacial multidimensional fractional PDEs.…”
Section: Output Feedback Control For Collocated Casementioning
confidence: 99%
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“…Remark Output feedback stabilization for fractional PDEs with one‐dimensional spacial variable was studied in several works [9‐13], but they did not investigate how to cope with the multidimensional spacial variable. Considering that the practical significance and physical description of extending the results for PDEs to coupled systems with multidimensional spacial variables are more important, Theorems 2 and 3 provide the stabilization design of spacial multidimensional fractional PDEs.…”
Section: Output Feedback Control For Collocated Casementioning
confidence: 99%
“…The Mittag-Leffler stabilization of a fractional heat equation with boundary external disturbance was discussed in [10]. More recently, an output feedback control was designed for fractional diffusion systems with spatially varying parameters in [11], while the stability robustness against small diffusivity perturbations was further studied in [12]. For more about the stabilization of fractional systems and the boundary control of PDEs, we refer to several works [13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…by employing (28) and observing the structure of H(y). Moreover, R 10 is obtained by evaluating (17) with (20) (x = 0) and (22), namely…”
Section: Kernel Matrix Of Estimation Error Transformationmentioning
confidence: 99%
“…After applying the integration by parts, (54)-(56), the Cauchy-Schwarz inequality, Young's inequality to (59) and taking account into BCs (22) and 23, we have…”
Section: Stability Of Observer Error Systemmentioning
confidence: 99%
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