H∞ control of fuzzy system models using linear output controllers
Systems Analysis Modelling Simulation
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
A new approach for neural control of nonlinear discrete dynamic systems
Information Sciences: an International Journal
Adaptive tracker for nonlinear time-varying systems against actuator failures
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
New delay-dependent stabilization conditions of T--S fuzzy systems with constant delay
Fuzzy Sets and Systems
Computers & Mathematics with Applications
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
International Journal of Systems Science
A fuzzy-neural multi-model for nonlinear systems identification and control
Fuzzy Sets and Systems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Automatica (Journal of IFAC)
Brief paper: Passivity-based control and synchronization of general complex dynamical networks
Automatica (Journal of IFAC)
Computers & Mathematics with Applications
Automatica (Journal of IFAC)
Control synthesis of continuous-time T-S fuzzy systems with local nonlinear models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
H∞ fuzzy control of nonlinear systems under unreliable communication links
IEEE Transactions on Fuzzy Systems
Time-optimal control of T-S fuzzy models via lie algebra
IEEE Transactions on Fuzzy Systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
LMI based design of constrained fuzzy predictive control
Fuzzy Sets and Systems
Analysis of time-optimal problem in T-S fuzzy model via Lie algebra
MIC '07 Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control
A new approach for neural control of nonlinear discrete dynamic systems
Information Sciences: an International Journal
On the adaptive fuzzy stabilization of unknown nonlinear systems
Control and Intelligent Systems
Neuro based model reference adaptive control of a conical tank level process
Control and Intelligent Systems
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
A reference model based adaptive fuzzy controller for nonlinear dynamic systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
New delay-dependent stability criteria for T--S fuzzy systems with time-varying delay
Fuzzy Sets and Systems
H∞ and mixed H2/H∞ control of discrete-time T--S fuzzy systems with local nonlinear models
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
Journal of Control Science and Engineering
Relaxed LMIs observer-based controller design via improved t-s fuzzy model structure
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Fuzzy control of nonlinear pipeline systems with bounds on output peak
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
H∞ output feedback control design for uncertain fuzzy singularly perturbed systems: an LMI approach
Automatica (Journal of IFAC)
T-S model-based nonlinear moving-horizon H∞ control and applications
Fuzzy Sets and Systems
A novel dropout compensation scheme for control of networked T-S fuzzy dynamic systems
Fuzzy Sets and Systems
Output tracking H∞ fuzzy control of nonlinear time-delay systems via Fuzzy Performance Evaluator
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Robust PID TS fuzzy control methodology based on gain and phase margins specifications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.01 |
A Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using fuzzy models is proposed. The controller is constructed using a design model of the dynamical process to be controlled. The design model is obtained from the truth model using a fuzzy modeling approach. The truth model represents a detailed description of the process dynamics. The truth model is used in a simulation experiment to evaluate the performance of the controller design. A method for generating local models that constitute the design model is proposed. Sufficient conditions for stability and stabilizability of fuzzy models using fuzzy state feedback controllers are given. The results obtained are illustrated with a numerical example involving a four-dimensional nonlinear model of a stick balancer