A review on type-2 fuzzy neural networks for system identification
In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
Robust fault tolerant optimal predictive control of hybrid actuators with time‐varying delay for industrial robot arm
This paper presents a robust hybrid fault‐tolerant optimal predictive control (HFTPC), for an
industrial robot arm under hybrid (electric and pneumatic) actuator faults and/or varying time …
industrial robot arm under hybrid (electric and pneumatic) actuator faults and/or varying time …
Adaptive type-2 fuzzy PID controller for LFC in AC microgrid
An AC microgrid (MG) system links the distributed generation (DG) based on renewable
energy resources and local electrical loads in modern power systems. Intermittent …
energy resources and local electrical loads in modern power systems. Intermittent …
Sliding-mode observer design and finite-time control of one-sided Lipschitz nonlinear systems with time-delay
H Gholami, T Binazadeh - Soft Computing, 2019 - Springer
This paper is concerned with finite-time observer-based control of time-delay systems with
one-sided Lipschitz nonlinearity and unknown energy-bounded exogenous disturbances …
one-sided Lipschitz nonlinearity and unknown energy-bounded exogenous disturbances …
Adaptive fuzzy observer-based cooperative control of unknown fractional-order multi-agent systems with uncertain dynamics
In our paper, a new cooperative control for unknown fractional-order multi-agent systems is
proposed. In addition to unknown dynamics, for the first time, the values of the fractional …
proposed. In addition to unknown dynamics, for the first time, the values of the fractional …
A new intelligent system for diagnosing tumors with MR images using type-2 fuzzy neural network (T2FNN)
V Rezaie, A Parnianifard - Multimedia Tools and Applications, 2022 - Springer
Early diagnosis of tumors can reduce mortality rates. Hence, tumor position, tumor area, and
tumor categories evaluation are also mandatory concerns for the proper medication. This …
tumor categories evaluation are also mandatory concerns for the proper medication. This …
Adaptive type-2 fuzzy PID LFC for an interconnected power system considering input time-delay
This paper addresses the designing of an adaptive type-2 fuzzy PID (T2FPID) controller for
load frequency control (LFC) of an interconnected nonlinear power system considering input …
load frequency control (LFC) of an interconnected nonlinear power system considering input …
[HTML][HTML] Adaptive T2FPID controller for load frequency control in a nonlinear time-delay power system
In this paper, an adaptive T2FPID controller is designed for load frequency control (LFC) in a
nonlinear, uncertain and time-delay power system. The time-varying delay at the input of the …
nonlinear, uncertain and time-delay power system. The time-varying delay at the input of the …
Robust Actuator Fault Reconstruction for Uncertain Time-Delay One-Sided Lipschitz Nonlinear Systems Based on a New Sliding Mode Observer
A Nasri, I Boulaabi, A Sellami… - 2023 9th International …, 2023 - ieeexplore.ieee.org
This paper is concerned with the problems of sliding mode observer (SMO) design and
robust fault reconstruction for one-sided Lipschitz (OSL) nonlinear systems with uncertainty …
robust fault reconstruction for one-sided Lipschitz (OSL) nonlinear systems with uncertainty …
T2FPID Load Frequency Control for a two-area Power System Considering Input Delay
In this study, a novel type-2 fuzzy (T2F) PID (T2FPID) controller is proposed for the load
frequency control (LFC) of a nonlinear 2-area power system which suffering from input …
frequency control (LFC) of a nonlinear 2-area power system which suffering from input …