Controllability and Observability of Non-homogeneous Granular Descriptor Fractional Dynamical Systems Applied in Electrical Circuit

被引:0
作者
Srilekha, R. [1 ]
Parthiban, V. [1 ]
机构
[1] Vellore Inst Technol, Sch Adv Sci, Chennai Campus,Vandalur Kelambakkam Rd, Chennai 600127, Tamil Nadu, India
关键词
Granular fractional differential equations; Descriptor linear system; Controllability; observability; Electrical circuits; INTEGRODIFFERENTIAL EQUATIONS; ORDER;
D O I
10.1007/s40815-024-01769-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the study of controllability and observability of fuzzy fractional descriptor dynamical system in terms of granular differentiability. The granular fuzzy solution for granular descriptor fractional dynamical system (GrDFDS) is obtained by using the Mittag-Leffler function and granular Laplace transform and the solution is represented in terms of the state transfer matrix. The controllability and observability of GrDFDS is analysed with the help of theorems using the controllability Gramian matrix and observability Gramian matrix. In order to illustrate the efficacy of our findings, we hereby give the controllability analysis of an engineering problem pertaining to the compatibility of a descriptor fractional electric circuit. The graph visually represents the outcome, indicating that the granular descriptor dynamical system of the electric circuit can be effectively controlled, leading to the successful transition of its state from the granular initial to the final state.
引用
收藏
页码:144 / 161
页数:18
相关论文
共 64 条
[41]   On the stability of fuzzy linear dynamical systems [J].
Najariyan, Marzieh ;
Zhao, Yi .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (09) :5502-5522
[42]   The explicit solution of fuzzy singular differential equations using fuzzy Drazin inverse matrix [J].
Najariyan, Marzieh ;
Zhao, Yi .
SOFT COMPUTING, 2020, 24 (15) :11251-11264
[43]   Fuzzy Fractional Quadratic Regulator Problem Under Granular Fuzzy Fractional Derivatives [J].
Najariyan, Marzieh ;
Zhao, Yi .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (04) :2273-2288
[44]   The controllability of fractional differential system with state and control delay [J].
Nawaz, Musarrat ;
Wei, Jiang ;
Sheng Jiale .
ADVANCES IN DIFFERENCE EQUATIONS, 2020, 2020 (01)
[45]   THE SEMISTATE DESCRIPTION OF NON-LINEAR TIME-VARIABLE CIRCUITS [J].
NEWCOMB, RW .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1981, 28 (01) :62-71
[46]  
Nguyen Dinh Phu, 2011, International Journal of Reliability and Safety, V5, P320
[47]   Finite-time stability of mild solution to time-delay fuzzy fractional differential systems under granular computing [J].
Nguyen Phuong Dong ;
Nguyen Thi Kim Son ;
Allahviranloo, Tofigh ;
Ha Thi Thanh Tam .
GRANULAR COMPUTING, 2023, 8 (02) :223-239
[48]   Optimal control of a fractional order model for granular SEIR epidemic with uncertainty [J].
Nguyen Phuong Dong ;
Hoang Viet Long ;
Khastan, Alireza .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2020, 88 (88)
[49]   Fuzzy delay differential equations under granular differentiability with applications [J].
Nguyen Thi Kim Son ;
Hoang Viet Long ;
Nguyen Phuong Dong .
COMPUTATIONAL & APPLIED MATHEMATICS, 2019, 38 (03)
[50]   On Fuzzy RDM-Arithmetic [J].
Piegat, Andrzej ;
Landowski, Marek .
HARD AND SOFT COMPUTING FOR ARTIFICIAL INTELLIGENCE, MULTIMEDIA AND SECURITY, 2017, 534 :3-16