Sampled-Data Fuzzy Fault Estimation Observer Design for Nonlinear Systems
In this study, a sampled-data fuzzy fault estimation observer design problem is considered for nonlinear systems. The main idea of this study is to solve the sampled-data output problem by using two approaches of approximate discretization and exact discrete-time design. Especially, in the exact dis...
Main Author: | Geun Bum Koo |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10367971/ |
Similar Items
-
Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems
by: Geun Bum Koo
Published: (2024-01-01) -
Robust Fault Estimation and Tolerant Control for Uncertain Takagi–Sugeno Fuzzy Systems
by: Slim Dhahri, et al.
Published: (2023-10-01) -
Distributed Fault Estimation of Multi–Agent Systems Using a Proportional–Integral Observer: A Leader–Following Application
by: Farrera Beltrán, et al.
Published: (2020-09-01) -
Fault-tolerant control for nonlinear singular systems with time-varying delay based on fault diagnosis observer
by: Qiaoqiao FAN, et al.
Published: (2017-08-01) -
Robust Fuzzy Control for Uncertain Nonlinear Power Systems
by: Tawfik Guesmi, et al.
Published: (2022-04-01)