Adaptive fuzzy observer-based active fault-tolerant dynamic surface control for a class of nonlinear systems with actuator faults

Q Shen, B Jiang, V Cocquempot - IEEE Transactions on Fuzzy …, 2013 - ieeexplore.ieee.org
The problem of fault-tolerant dynamic surface control (DSC) for a class of uncertain
nonlinear systems with actuator faults is discussed and an active fault-tolerant control (FTC) …

Process monitoring and fault detection strategies: a review

A Das, J Maiti, RN Banerjee - International Journal of Quality & …, 2012 - emerald.com
Purpose–Monitoring of a process leading to the detection of faults and determination of the
root causes are essential for the production of consistent good quality end products with …

An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique

S Shamshirband, NB Anuar, MLM Kiah… - Engineering Applications of …, 2013 - Elsevier
The deployment of wireless sensor networks and mobile ad-hoc networks in applications
such as emergency services, warfare and health monitoring poses the threat of various …

Interval type-2 fuzzy PID load frequency controller using Big Bang–Big Crunch optimization

E Yesil - Applied Soft Computing, 2014 - Elsevier
This paper proposes an optimization based design methodology of interval type-2 fuzzy PID
(IT2FPID) controllers for the load frequency control (LFC) problem. Hitherto, numerous fuzzy …

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - Elsevier
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …

Review on fuzzy and neural prediction interval modelling for nonlinear dynamical systems

O Cartagena, S Parra, D Muñoz-Carpintero… - IEEE …, 2021 - ieeexplore.ieee.org
The existing uncertainties during the operation of processes could strongly affect the
performance of forecasting systems, control strategies and fault detection systems when they …

An evolving approach to unsupervised and real-time fault detection in industrial processes

CG Bezerra, BSJ Costa, LA Guedes… - Expert systems with …, 2016 - Elsevier
Fault detection in industrial processes is a field of application that has gaining considerable
attention in the past few years, resulting in a large variety of techniques and methodologies …

Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for anti-lock braking systems

RE Precup, MC Sabau, EM Petriu - Applied Soft Computing, 2015 - Elsevier
This paper suggests a synergy of fuzzy logic and nature-inspired optimization in terms of the
nature-inspired optimal tuning of the input membership functions of a class of Takagi …

Stabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm

RE Precup, ML Tomescu, CA Dragos - International Journal of …, 2014 - Taylor & Francis
This paper proposes a fuzzy logic control algorithm (FLCA) to stabilize the Rössler chaotic
dynamical system. The fuzzy logic control system is based on a Takagi-Sugeno-Kang …

Model-free primitive-based iterative learning control approach to trajectory tracking of MIMO systems with experimental validation

MB Radac, RE Precup, EM Petriu - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes a novel model-free trajectory tracking of multiple-input multiple-output
(MIMO) systems by the combination of iterative learning control (ILC) and primitives. The …