Finite-time extended dissipativity control for interval type-2 fuzzy systems with resilient memory sampled-data controller

2021 ◽  
Author(s):  
N. Sakthivel ◽  
C.A. Suruthi ◽  
Guisheng Zhai
Keyword(s):  
Finite Time ◽  
Fuzzy Systems ◽  
Sampled Data ◽  
Interval Type ◽  
Data Controller

Finite-time boundedness of interval type-2 fuzzy systems with time delay and actuator faults

2019 ◽  
Vol 356 (15) ◽  
pp. 8296-8324 ◽  
Author(s):  
R. Kavikumar ◽  
R. Sakthivel ◽  
O.M. Kwon ◽  
B. Kaviarasan
Keyword(s):  
Time Delay ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Actuator Faults ◽  
Finite Time Boundedness ◽  
Interval Type

scholarly journals Robust $ {H}_{\infty} $ output feedback finite-time control for interval type-2 fuzzy systems with actuator saturation

2021 ◽  
Vol 7 (3) ◽  
pp. 4614-4635
Author(s):  
Chuang Liu ◽  
◽  
Jinxia Wu ◽  
Weidong Yang ◽  
◽  
...  
Keyword(s):  
Finite Time ◽  
Fuzzy Systems ◽  
Actuator Saturation ◽  
Input Saturation ◽  
Sufficient Conditions ◽  
Finite Time Stability ◽  
Time Control ◽  
Interval Type ◽  
Mass Spring

<abstract><p>The finite-time $ {H_\infty } $ performance of the interval type-2 Takagi-Sugeno fuzzy system (IT2 T-S) in presence of immeasurable states and input saturation is investigated. At first, an observer associated with IT2 T-S states is considered to address the problem of immeasurable states. After that, the input saturation is described based on the polyhedron model, and accordingly, a robust $ {H_\infty } $ observer-based finite-time controller is proposed via non-PDC algorithm. Then, on the basis of the Lyapunov function method and LMIs theory, the sufficient conditions for the finite time stability of fuzzy systems are derived. At last, the feasibility of the designed algorithm is verified by two examples of the nonlinear mass-spring-damping system and tunnel diode circuit system, respectively.</p></abstract>

Sign in / Sign up

Export Citation Format

Share Document