Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohamed Abyad"'
Publikováno v:
PeerJ Computer Science, Vol 7, p e458 (2021)
The design of an observer-based robust tracking controller is investigated and successfully applied to control an Activated Sludge Process (ASP) in this study. To this end, the Takagi–Sugeno (TS) fuzzy modeling is used to describe the dynamics of a
Externí odkaz:
https://doaj.org/article/eca97c176f874734bb491a09ea9f01c2
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 34:266-282
Publikováno v:
International Journal of Dynamics & Control; Oct2022, Vol. 10 Issue 5, p1499-1508, 10p
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 143
This paper presents the problem of actuator fault estimation and fault-tolerant control (FTC) of a biological process using Takagi–Sugeno fuzzy formulation. The goal is to ensure the desired outputs tracking even if the time-varying actuator faults
Publikováno v:
MED
In this work we are interested in a tracking problem with reference model. A robust fuzzy controller is designed for the regulation of the pollutant substrate and the dissolved oxygen concentrations inside an activated sludge process. The process is
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e458 (2021)
PeerJ Computer Science, Vol 7, p e458 (2021)
The design of an observer-based robust tracking controller is investigated and successfully applied to control an Activated Sludge Process (ASP) in this study. To this end, the Takagi–Sugeno (TS) fuzzy modeling is used to describe the dynamics of a
Publikováno v:
2018 7th International Conference on Systems and Control (ICSC).
This paper addresses trajectory tracking and active Fault Tolerant Control (FTC) of a nonlinear biological process affected by actuators faults. The nonlinear biological process transformed to a fuzzy Takagi-Sugeno (T-S) model, then a nominal control
Publikováno v:
2017 International Renewable and Sustainable Energy Conference (IRSEC).
The aim of this work is to model and control a nonlinear biological process. The paper illustrates the use of fuzzy logic type Takagi-Sugeno (TS) to elaborate a fuzzy model and build fuzzy controllers. Two control approaches are considered. The first
Publikováno v:
2017 International Conference on Electrical and Information Technologies (ICEIT).
This paper proposes to model and control a nonlinear biological process. the main contribution concerns the use of fuzzy logic type Takagi-Sugeno to elaborate a fuzzy model and build fuzzy controllers. Two control approaches are considered. The first