Open AccessRobust dynamic sliding mode control design for interval type-2 fuzzy systems
Author(s) -
Ramasamy Kavikumar,
B. Kaviarasan,
Yonggwon Lee,
OhMin Kwon,
R. Sakthivel,
Seong-Gon Choi
Publication year - 2022
Publication title -
discrete and continuous dynamical systems. series s
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 34
eISSN - 1937-1632
pISSN - 1937-1179
DOI - 10.3934/dcdss.2022014
Subject(s) - control theory (sociology) , sliding mode control , reachability , interval (graph theory) , controller (irrigation) , fuzzy control system , dissipative system , computer science , fuzzy logic , robust control , mode (computer interface) , control system , lyapunov function , mathematics , control (management) , engineering , nonlinear system , algorithm , artificial intelligence , physics , quantum mechanics , combinatorics , agronomy , biology , operating system , electrical engineering
This paper discusses the problem of stabilization of interval type-2 fuzzy systems with uncertainties, time delay and external disturbance using a dynamic sliding mode controller. The sliding surface function, which is based on both the system's state and control input vectors, is used during the control design process. The sliding mode dynamics are presented by defining a new vector that augments the system state and control vectors. First, the reachability of the addressed sliding mode surface is demonstrated. Second, the required sufficient conditions for the system's stability and the proposed control design are derived by using extended dissipative theory and an asymmetric Lyapunov-Krasovskii functional approach. Unlike some existing sliding mode control designs, the one proposed in this paper does not require the control coefficient matrices of all linear subsystems to be the same, reducing the method's conservatism. Finally, numerical examples are provided to demonstrate the viability and superiority of the proposed design method.