Numerous types of hybridizations between type 2 fuzzy logic system (T2FLS) and sliding mode control (SMC) have been proposed to construct an intelligent and robust controller …
H Liu, H Wang, J Cao, A Alsaedi, T Hayat - Journal of the Franklin Institute, 2019 - Elsevier
This paper considers the tracking control of fractional-order nonlinear systems (FONSs) in triangular form with actuator faults by means of sliding mode control (SMC) and composite …
In this paper, an optimal adaptive fuzzy sliding mode controller is presented for a class of nonlinear systems. In the proposed control, in the beginning, the boundaries of parametric …
X Liu, T Zhao, J Cao, P Li - ISA transactions, 2023 - Elsevier
This paper designs an interval type-2 fuzzy neural network sliding mode robust controller (IT2FNNSMRC) to improve the stability of the vibrational angle of the orbital plane in …
This work presents a novel adaptive fuzzy controller based on the inversely fuzzified values associated with the H infinity technique and it is applied to vibration control of a vehicle seat …
Y Bibi, O Bouhali, T Bouktir - IET Control Theory & Applications, 2017 - Wiley Online Library
In this study, the authors developed a novel universal approximator by the integration of Petri networks into type 2 fuzzy neural networks (T2FNN). T2FNN involve large number of …
A new extension of the conventional adaptive fuzzy sliding mode control (AFSMC) scheme, for the case of under-actuated and uncertain affine multiple-input multiple-output (MIMO) …
Interval type-2 fuzzy logic systems (IT2-FLSs) have recently been utilized in many control processes due to their ability to model uncertainties better than their type-1 (T1) …
In this paper, an adaptive actuator failure compensation scheme is proposed for a class of parametric-strict-feedback multi-input multi-output nonlinear systems with unknown time …