Neural Net-Based H∞ Control for a Class of Nonlinear Systems
Neural Processing Letters
Design of robust fuzzy-model-based controller with sliding mode control for SISO nonlinear systems
Fuzzy Sets and Systems - Fuzzy control
H∞ control of fuzzy system models using linear output controllers
Systems Analysis Modelling Simulation
Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties
Fuzzy Sets and Systems - Modeling and control
Stable adaptive control of fuzzy dynamic systems
Fuzzy Sets and Systems - Modeling and control
An approach to H∞ control of fuzzy dynamic systems
Fuzzy Sets and Systems - Theme: Modeling and control
Fuzzy Partial State Feedback Control of Discrete Nonlinear Systems with Unknown Time-Delay
Fuzzy Optimization and Decision Making
A projection scheme to stability analysis of discrete T-S fuzzy models
Mathematics and Computers in Simulation
Robust H∞ fuzzy control of nonlinear systems with multiple time delays
International Journal of Systems Science
An efficient projection method to stability issues of fuzzy systems
International Journal of Computer Applications in Technology
Robust fuzzy decentralized control for nonlinear large-scale systems with parametric uncertainties
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Approach of adaptive control for a class of nonlinear systems using fuzzy approximator
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Robustness design of nonlinear systems: fuzzy Lyapunov approach
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno's form
International Journal of Systems Science
Information Sciences: an International Journal
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Observer-based relaxed H∞ control for fuzzy systems using a multiple Lyapunov function
IEEE Transactions on Fuzzy Systems
Conditions of output stabilization for nonlinear models in the Takagi--Sugeno's form
Fuzzy Sets and Systems
H∞ control for fuzzy singularly perturbed systems
Fuzzy Sets and Systems
Neural-network-based optimal fuzzy controller design for nonlinear systems
Fuzzy Sets and Systems
On the dissipativity of nonlinear systems: Fuzzy control approach
Fuzzy Sets and Systems
An adaptive fuzzy observer-based approach for chaotic synchronization
International Journal of Approximate Reasoning
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Stability analysis for nonlinear systems subjected to external force
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Stabilization of Takagi-Sugeno model via nonparallel distributed compensation law
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust fuzzy tracking control of nonlinear systems with uncertainty via t-s fuzzy model
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Information Sciences: an International Journal
Stability analysis and design of Takagi-Sugeno fuzzy systems
Information Sciences: an International Journal
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI
Automatica (Journal of IFAC)
Engineering Applications of Artificial Intelligence
Relaxed stability issues for T-S fuzzy system: Based on a fuzzy quadratic Lyapunov function
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.01 |
This paper addresses the analysis and design of a fuzzy controller and a fuzzy observer on the basis of the Takagi-Sugeno (T-S) fuzzy model. The main contribution of the paper is the development of the separation property; that is, the fuzzy controller and the fuzzy observer can be independently designed. A numerical simulation and an experiment on an inverted pendulum system are described to illustrate the performance of the fuzzy controller and the fuzzy observer