New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems
DOI10.1002/oca.1014zbMath1273.93157OpenAlexW1587931951MaRDI QIDQ2857139
Agustín Jiménez, Fernando Matia, Basil Mohammed Al-Hadithi
Publication date: 31 October 2013
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: http://oa.upm.es/11800/
nonlinear systemslinear quadratic regulatorextended Kalman filterTakagi-Sugeno fuzzy modelfuzzy systems
Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10)
Related Items (6)
Cites Work
- Induction of fuzzy rules and membership functions from training examples
- Training fuzzy systems with the extended Kalman filter
- LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form
- Fuzzy identification of systems and its applications to modeling and control
- SUM NORMAL OPTIMIZATION OF FUZZY MEMBERSHIP FUNCTIONS
- Design and rule base reduction of a fuzzy filter for the estimation of motor currents
This page was built for publication: New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems