Asynchronous output-feedback control of networked nonlinear systems with multiple packet dropouts: T–S fuzzy affine model-based approach

J Qiu, G Feng, H Gao - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
This paper investigates the problem of robust H_∞ output-feedback control for a class of
networked nonlinear systems with multiple packet dropouts. The nonlinear plant is …

An efficient Lyapunov function for discrete T–S models: observer design

TM Guerra, H Kerkeni, J Lauber… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper deals with the design of a new observer synthesis for discrete Takagi-Sugeno
(TS) fuzzy models. It is well established that quadratic synthesis for discrete TS models …

LMI-based stability analysis for fuzzy-model-based control systems using artificial T–S fuzzy model

HK Lam - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
This paper investigates the stability of fuzzy-model-based (FMB) control systems. An
alternative stability-analysis approach using an artificial fuzzy system based on the …

Stabilization of nonlinear systems using sampled-data output-feedback fuzzy controller based on polynomial-fuzzy-model-based control approach

HK Lam - IEEE Transactions on Systems, Man, and …, 2011 - ieeexplore.ieee.org
This paper investigates the stability of sampled-data output-feedback (SDOF) polynomial-
fuzzy-model-based control systems. Representing the nonlinear plant using a polynomial …

Fuzzy PI-type current controllers for permanent magnet synchronous motors

JW Jung, YS Choi, VQ Leu, HH Choi - IET electric power applications, 2011 - IET
This study proposes a robust fuzzy PI-type current controller for a permanent magnet
synchronous motor (PMSM). The proposed current control law consists of two control terms …

Sampled-data robust H∞ control for T–S fuzzy systems with time delay and uncertainties

C Peng, QL Han, D Yue, E Tian - Fuzzy Sets and Systems, 2011 - Elsevier
This paper investigates sampled-data robust H∞ control for T–S fuzzy systems with time
delay and uncertainties. By introducing the free weighting matrices to deal with the integral …

On the robustness of type-1 and interval type-2 fuzzy logic systems in modeling

M Biglarbegian, W Melek, J Mendel - Information Sciences, 2011 - Elsevier
Research on the robustness of fuzzy logic systems (FLSs), an imperative factor in the design
process, is very limited in the literature. Specifically, when a system is subjected to small …

Dynamic output feedback predictive control for nonlinear systems represented by a Takagi–Sugeno model

B Ding - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
This paper addresses the output feedback predictive control for a Takagi-Sugeno (TS) fuzzy
system with bounded noise. The controller optimizes an infinite-horizon objective function …

Bisimulations for fuzzy-transition systems

Y Cao, G Chen, EE Kerre - IEEE Transactions on Fuzzy …, 2011 - ieeexplore.ieee.org
There has been a long history of using fuzzy-language equivalence to compare the behavior
of fuzzy systems; however, the comparison at this level is too coarse. Recently, a finer …

[图书][B] Stability analysis of fuzzy-model-based control systems

HK Lam, FHF Leung - 2011 - Springer
Fuzzy logic control has been studied and developed for decades. It is known to be an
effective control approach to some ill-defined and complex control processes. Thanks to …