A Combined H 2 / H ∞ Approach for Robust Joint Actuator and Sensor Fault Estimation: Application to a DC Servo-Motor System

scientific article published on 11 June 2019

A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test

A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem

scientific article published in June 2006

A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation

A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling

A pole estimation approach to the synthesis of the dynamic GMDH neural networks

scientific article published in October 2010

A predictive actuator fault-tolerant control strategy under input and state constraints

A quadratic boundedness approach to robust DC motor fault estimation

A robust ℋ ∞ observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine

An H ∞ approach to fault estimation of non-linear systems: Application to one-link manipulator

An LMI approach to robust fault estimation for a class of nonlinear systems

An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace

scientific article published in August 2011

Automated generation and comparison of Takagi–Sugeno and polytopic quasi-LPV models

Confidence estimation of the multi-layer perceptron and its application in fault detection systems

scientific article published in September 2008

Fault-Tolerant Control of a two-degree of freedom helicopter using LPV techniques

Neural Network-Based Simultaneous Estimation of Actuator and Sensor Faults

Neural network-based robust actuator fault diagnosis for a non-linear multi-tank system.

scientific article published on 30 January 2016

Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks

scientific article published in 2013

Robust fault identification of a polytopic LPV system with neural network

Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems

Simultaneous estimation of multiple actuator anc sensor faults for Takagi-Sugeno fuzzy systems

Toward the training of feed-forward neural networks with the D-optimum input sequence

scientific article published in March 2006

Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace