Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts
From MaRDI portal
Publication:5858187
DOI10.22111/ijfs.2020.5219zbMath1458.93154OpenAlexW2976916061MaRDI QIDQ5858187
Vahid Johari Majd, M. J. Koopaee
Publication date: 9 April 2021
Full work available at URL: http://ijfs.usb.ac.ir/article_5219_ac70556cf6fbd171fe157fd151528bca.pdf
linear matrix inequalityfuzzy systemssector-bounded nonlinearityLure' type systemsswitching nonlinear systems
Stabilization of systems by feedback (93D15) Fuzzy control/observation systems (93C42) (H^infty)-control (93B36)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Stabilization and robust \(H_\infty\) control for sector-bounded switched nonlinear systems
- Receding horizon disturbance attenuation for Takagi-Sugeno fuzzy switched dynamic neural networks
- \(H_\infty\) and mixed \(H_2/H_\infty\) control of discrete-time T-S fuzzy systems with local nonlinear models
- Analysis and synthesis of switched nonlinear systems using the T-S fuzzy model
- Switching in systems and control
- Robust observer-based controller design for Takagi-Sugeno systems with nonlinear consequent parts
- Observer-based stabilization of sector-bounded nonlinear stochastic systems in the presence of intermittent measurements
- Switching PDC control for discrete-time T-S fuzzy system: a membership function ranking approach
- Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: applications of Polya's theorem
- SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Stabilization of switching Takagi–Sugeno systems by switched Lyapunov function
- Stability analysis and stabilisation of switched nonlinear systems
This page was built for publication: Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts
