Design of a Fuzzy Optimization Control Structure for Nonlinear Systems: A Disturbance-Rejection Method
This paper tackles the control problem of nonlinear disturbed polynomial systems using the formalism of output feedback linearization and a subsequent sliding mode control design. This aims to ensure the asymptotic stability of an unstable equilibrium point. The class of systems under investigation...
Main Authors: | Samia Charfeddine, Attia Boudjemline, Sondess Ben Aoun, Houssem Jerbi, Mourad Kchaou, Obaid Alshammari, Zied Elleuch, Rabeh Abbassi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/6/2612 |
Similar Items
-
A Fuzzy Design for a Sliding Mode Observer-Based Control Scheme of Takagi-Sugeno Markov Jump Systems under Imperfect Premise Matching with Bio-Economic and Industrial Applications
by: Obaid Alshammari, et al.
Published: (2022-09-01) -
A Stochastic Optimization Algorithm to Enhance Controllers of Photovoltaic Systems
by: Samia Charfeddine, et al.
Published: (2022-06-01) -
Active disturbance rejection sliding mode control for robot manipulation
by: Fangli Mou, et al.
Published: (2020-12-01) -
Conversion Flight Control for Tiltrotor Aircraft via Active Disturbance Rejection Control
by: Ke Lu, et al.
Published: (2022-03-01) -
Hermitian Solutions of the Quaternion Algebraic Riccati Equations through Zeroing Neural Networks with Application to Quadrotor Control
by: Houssem Jerbi, et al.
Published: (2023-12-01)