Cargando…
Fuzzy Controller Design Using Evolutionary Techniques for Twin Rotor MIMO System: A Comparative Study
This paper presents a comparative study of fuzzy controller design for the twin rotor multi-input multioutput (MIMO) system (TRMS) considering most promising evolutionary techniques. These are gravitational search algorithm (GSA), particle swarm optimization (PSO), artificial bee colony (ABC), and d...
Autores principales: | Hashim, H. A., Abido, M. A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417586/ https://www.ncbi.nlm.nih.gov/pubmed/25960738 http://dx.doi.org/10.1155/2015/704301 |
Ejemplares similares
-
Robust Decentralized Nonlinear Control for a Twin Rotor MIMO System
por: Belmonte, Lidia María, et al.
Publicado: (2016) -
Design of a soft sensing technique for measuring pitch and yaw angular positions for a Twin Rotor MIMO System
por: Nayak, Sneha, et al.
Publicado: (2021) -
Real-time robust generalized dynamic inversion based optimization control for coupled twin rotor MIMO system
por: Abbas, Nadir, et al.
Publicado: (2022) -
Wavelet Fuzzy Brain Emotional Learning Control System Design for MIMO Uncertain Nonlinear Systems
por: Zhao, Jing, et al.
Publicado: (2019) -
Towards Simultaneous Actuator and Sensor Faults Estimation for a Class of Takagi-Sugeno Fuzzy Systems: A Twin-Rotor System Application
por: Pazera, Marcin, et al.
Publicado: (2020)