… , fuzzy system and fuzzy control play significant roles. An important class of fuzzy system is
Takagi–Sugeno (T–S) fuzzy system … : based on the relaxed stabilization condition in [28], [29] …

… the most employed in fuzzy control framework and also in … This paper presents a new
LMI-based control method for … paper are independent to the relaxation methods in the sense that …

… method has been efficiently exploited to study the stability … T–S fuzzy control framework,
namely quadratic, piecewise and … The relaxation result in Lemma 2 is extended from the one in […

… Moreover, the design of the robust fuzzy controller is studied … The firstly LMI-based T–S
fuzzy approaches were … to provide relaxed stability analysis and controller design conditions, …

… quadratic Lyapunov function for the T–S fuzzy system with … Wang, “Relaxed stabilization
criterion for TS fuzzy systems by … “LMI-based stability and performance design of fuzzy control …

… Within the framework of the TS fuzzy systems, numerous fuzzy control issues, such as
stability analysis [4–7], controller … Relaxed stability conditions for polynomial-fuzzy-model-based …

… of quadratic Lyapunov function for stability conditions. Despite the efficiency of LMI-based
approach… researches on relaxed criteria and stability conditions for TS fuzzy system have been …

… of fuzzy logic was the Takagi-Sugeno (TS) fuzzy systems [4]. With … study of relaxed conditions
for designing LMI-based controllers is … , when compared with the results based on quadratic …

… , the LMI-based MPC method has been extensively applied in TS fuzzy control of complex
nonlinear systems. [27] … with time-varying delays via quadratic fuzzy Lyapunov matrix,” IEEE …

… control strategies such as Mamdani fuzzy logic control [11]. … ] where the control is designed
via an LMI based approach. … Based on the T–S model, relaxed stabilization conditions are …