A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent …

HK Lam - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
This paper reviews the stability analysis of continuous-time fuzzy-model-based (FMB)
control systems, with emphasis on state-feedback control techniques, which is an essential …

Event-triggered fuzzy control for nonlinear networked control systems

Y Pan, GH Yang - Fuzzy Sets and Systems, 2017 - Elsevier
This paper investigates the problem of event-triggered (ET) dynamic output feedback
controller (DOFC) design for nonlinear networked control systems (NCSs) in the framework …

Interval Type-2 Fuzzy Sampled-Data Control for Nonlinear Unreliable Networked Control Systems

Z Du, Y Kao, HR Karimi, X Zhao - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
This paper is concerned with the problem of interval type-2 (IT2) fuzzy sampled-data H∞
control for nonlinear networked control systems with parameter uncertainties, data dropout …

New results for sampled-data control of interval type-2 fuzzy nonlinear systems

Z Du, Y Kao, JH Park - Journal of the Franklin Institute, 2020 - Elsevier
This paper is devoted to the investigation of the interval type-2 (IT2) fuzzy sampled-data
stabilization problem for the controlled plant subject to nonlinearities and parameter …

Interval type-2 fuzzy tracking control for nonlinear systems via sampled-data controller

Z Du, Z Yan, Z Zhao - Fuzzy Sets and Systems, 2019 - Elsevier
This paper addresses an interval type-2 (IT2) fuzzy sampled-data tracking control problem of
nonlinear systems subject to uncertain parameters. The controlled plant is modeled as …

Unknown input observer design for interval type-2 T–S fuzzy systems with immeasurable premise variables

H Hassani, J Zarei, M Chadli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper deals with the problem of robust unknown input fault detection observers
(UIFDOs) design for interval type-2 Takagi-Sugeno (TS) fuzzy systems with immeasurable …

Dissipativity-based non-fragile sampled-data control design of interval type-2 fuzzy systems subject to random delays

R Sakthivel, SA Karthick, B Kaviarasan, F Alzahrani - ISA transactions, 2018 - Elsevier
This paper investigates the β-dissipativity-based reliable non-fragile sampled-data control
problem for a class of interval type-2 (IT2) fuzzy systems. In particular, it is allowed to have …

Fuzzy decentralized output feedback event-triggered control for interval type-2 fuzzy systems with saturated inputs

W Song, S Tong - Information Sciences, 2021 - Elsevier
This paper studies the fuzzy decentralized output feedback event-triggered control problem
for the interval type–2 Takagi-Sugeno (IT2 TS) fuzzy interconnected system with actuator …

Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN

J Tavoosi, AA Suratgar, MB Menhaj - Engineering Applications of Artificial …, 2016 - Elsevier
This paper presents a new self-evolving recurrent Type-2 Fuzzy Radial Basis Function
Network (T2FRBFN) in which the weights are considered Gaussian type-2 fuzzy sets and …

Membership function dependent stabilization of discrete time interval type-2 fuzzy systems with mixed actuator faults

Y Wang, Y Ma - Information Sciences, 2023 - Elsevier
This paper investigates the problem of mixed actuator failures for discrete-time interval type-
2 (IT-2) fuzzy systems with time-varying delays and external disturbances. Applying the non …