A review on neurocomputing based wind turbines fault diagnosis and prognosis

S Baltazar, C Li, H Daniel… - 2018 prognostics and …, 2018 - ieeexplore.ieee.org
Renewable energy, especially wind power energy, has gone through fast growth in the last
decade According to the Global Wind Energy Council (GWEC), the worldwide global …

Fault-tolerant controller comparative study and analysis for benchmark two-tank interacting level control system

S Raval, HR Patel, VA Shah - SN Computer Science, 2021 - Springer
In recent times fault-tolerant controller is a prime choice because of the handling capability
of the multifunction into the closed-loop system irrespective of the faults and the external …

Passive fault-tolerant control scheme for nonlinear level control system with parameter uncertainty and actuator fault

S Raval, HR Patel, S Patel, VA Shah - North American Fuzzy Information …, 2022 - Springer
In recent time, the use of artificial intelligence techniques in control domain has been
increasing in popularity, and this is mainly due to the incorporating ability of human cognitive …

Neural network-based control framework for SISO uncertain system: passive fault tolerant approach

S Raval, HR Patel, VA Shah - … Solutions: Proceedings of the INFUS 2020 …, 2021 - Springer
This brief deals with fault-tolerant control framework designed for an uncertain SISO level
control system using a neural network. The level control system is common and very …

LPV system modeling with SSNN toolbox

M Luzar, A Czajkowski - 2016 American Control Conference …, 2016 - ieeexplore.ieee.org
The main objective of this paper is to develop and design a State Space Neural Network
toolbox for a non-linear system modeling with an artificial state-space neural networks …

Robust MPC for a non-linear system–a neural network approach

M Luzar, M Witczak - Journal of Physics: Conference Series, 2014 - iopscience.iop.org
The aim of the paper is to design a robust actuator fault-tolerant control for a non-linear
discrete-time system. Considered system is described by the Linear Parameter-Varying …

SSNN toolbox for non-linear system identification

M Luzar, A Czajkowski - Journal of Physics: Conference Series, 2015 - iopscience.iop.org
The aim of this paper is to develop and design a State Space Neural Network toolbox for a
non-linear system identification with an artificial state-space neural networks, which can be …

Design of sensor and actuator multi model fault detection and isolation system using state space neural networks

A Czajkowski - Journal of Physics: Conference Series, 2015 - iopscience.iop.org
This paper deals with the application of state space neural network model to design a Fault
Detection and Isolation diagnostic system. The work describes approach based on …