Document Type : Research Paper
Authors
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
Abstract
This study is concerned with finding the controllability of granular type-2
fuzzy fractional-order dynamical control systems (GrT2FuFDCS) using
Mittag-Leffler matrix function. Some new concepts concerning to granular
interval valued type-2 fuzzy fractional derivative is introduced in
this paper. To arrive at finding the controllability of the type-2 fuzzy
dynamical system, type-2 triangular fuzzy function and type-2 triangular
fuzzy numbers are used to model fractional dynamical control
system. Besides, the controllability Grammian matrix is defined based
on Mittag-Leffler matrix function. Granular fuzzy Laplace transform and
inverse Laplace transform are utilized to derive the solution of the type-
2 triangular fuzzy fractional-order control systems. The derived results
ensure that the controllability of the proposed GrT2FuFDCS for both
linear and non-linear case exists. Finally, numerical examples and their
simulation results are given to illustrate the merit of the obtained results.
Keywords
- Horizontal membership function
- Type-2 triangular fuzzy number
- Type-2 fuzzy granular Laplace transform
- Type-2 fuzzy fractional differential equations, Granular differentiability
- Granular fuzzy fractional derivative
- Type-2 fuzzy fractional granular controllability
Main Subjects
fuzzy dynamics, International Journal of Fuzzy Systems, 24(4) (2022), 1780-1792. https://doi.org/10.1007/
s40815-021-01237-0
theorems to the existence of uncertain differential equations with finite delay, Iranian Journal of Fuzzy Systems,
17(6) (2020), 1-15.https://doi.org/10.22111/IJFS.2020.5597
Fuzzy Systems, 10(6) (2013), 137-151. https://doi.org/10.22111/ijfs.2013.1336
Applied Mathematics and Computation, 257 (2015), 66-73. https://doi.org/10.1016/j.amc.2014.12.059
with uncertainty, Communications in Nonlinear Science and Numerical Simulation, 88 (2020), 105312. https:
//doi.org/10.1016/j.cnsns.2020.105312
Proceedings of the World Congress on Engineering and Computer Science, 2 (2013). https://www.iaeng.org/
publication/WCECS2013/WCECS2013_pp879-884.pdf
n-dimension fuzzy vector space, In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery,
6 (2009), 162-166. https://doi.org/10.1109/FSKD.2009.645
Journal of Approximate Reasoning, 461 (2007), 109-119. https://doi.org/10.1016/j.ijar.2006.09.003
Systems, 15(6) (2018), 41-64. https://doi.org/10.22111/IJFS.2018.4364
Numerical Simulation, 19(7) (2014), 2354-2372. https://doi.org/10.1016/j.cnsns.2013.11.003
Nonlinear Science and Numerical Simulation, 19(3) (2014), 710-725. https://doi.org/10.1016/j.cnsns.2013.
07.002
condition”, Fuzzy Sets and Systems, 265 (2015), 121-126. https://doi.org/10.1016/j.fss.2014.05.018
electrical engineering, Information Sciences, 653 (2024), 119774. https://doi.org/10.1016/j.ins.2023.119774
on Fuzzy Systems, 26(1) (2017), 310-323. https://doi.org/10.1109/TFUZZ.2017.2659731
//doi.org/10.1109/ACCESS.2021.3074245
systems, Expert Systems with Applications, 189 (2022), 115947. https://doi.org/10.1016/j.eswa.2021.115947
Systems (IEEE World Congress on Computational Intelligence), 2008, 354-360. https://doi.org/10.1109/FUZZY.
2008.4630390
272 (2014), 96-110. https://doi.org/10.1016/j.ins.2014.02.092
International Journal of Fuzzy Systems, 21 (2019), 1661-1668. https://doi.org/10.1007/s40815-019-00680-4
impulses, Asian Journal of Control, 20(2) (2018), 935-942. https://doi.org/10.1002/asjc.1604
under granular differentiability concept, International Journal of Computer Mathematics, 98(8) (2021), 1495-1520.
https://doi.org/10.1080/00207160.2020.1823974
https://doi.org/10.1007/s41066-016-0037-y
30(8) (2021), 2915-2929. https://doi.org/10.1109/TFUZZ.2021.3097810
IEEE Transactions on Fuzzy Systems, 26(4) (2017), 2273-2288. https://doi.org/10.1109/TFUZZ.2017.2783895
(2020), 5502-5522. https://doi.org/10.1016/j.jfranklin.2020.02.023
derivative, Soft Computing, 27(15) (2023), 10457-10467. https://doi.org/10.1007/s00500-023-08549-3
Journal of Reliability and Safety, 5(3-4) (2011), 320-335. https://doi.org/10.1504/IJRS.2011.041183
of Fuzzy Systems, 17 (2015), 22-30. https://doi.org/10.1007/s40815-015-0013-8
Multimedia and Security, 3-16 (2017). https://doi.org/10.1007/978-3-319-48429-7
Scientific World Journal 2015, 1 (2015), 367214. https://doi.org/10.1155/2015/367214
Iranian Journal of Fuzzy Systems, 19(1) (2022), 47-60. https://doi.org/10.22111/IJFS.2022.6550
with applications, Computational and Applied Mathematics, 38(3) (2019), 107. https://doi.org/10.1007/
s40314-019-0881-x
calculation of a composite massless rod under a tensile load, Soft Computing in Computer and Information Science,
(2015), 63-72. https://doi.org/10.1007/978-3-319-15147-2_6
(2015), 635-646. https://doi.org/10.1007/s40815-015-0040-5
differentiability, Communications in Nonlinear Science and Numerical Simulation, 133 (2024), 107984. https:
//doi.org/10.1016/j.cnsns.2024.107984
90241-X