Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation

By Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini. at - Automatisierungstechnik, 2010

353 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/583d3f44e20af5271ecacfc9c2a9374b0cd90eab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Vicenç Puig
2. Mariusz Buciakowski
3. Marcin Witczak
4. Damiano Rotondo
5. Józef Korbicz
6. Fatiha Nejjari

Citations in the corpus

• Robust Model-Based Fault Diagnosis for PEM Fuel Cell Air-Feed System (2016, neutral): “, ‖gi(z1, z2, u)− gi(z1, ẑ2, u)‖ ≤ γi‖z2 − ẑ2‖ (19) where γi, i ∈ {1, 2} are known positive constants [38].”
• A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems (2017, methodology): “In [3] and [25], a fault diagnosis for Lipschitz nonlinear systems by using adaptive observer has been presented.”