In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked
control systems (NCSs) have received increasing attention from both scientific and industrial …

This work explores the synchronization issue for singularly perturbed coupled neural
networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a …

This article investigates the nonfragile synchronization issue for a class of discrete-time
Takagi–Sugeno (T–S) fuzzy Markov jump systems. With regard to the T–S fuzzy model, a …

This paper investigates the multirate networked industrial process control problem in double-
layer architecture. First, the output tracking problem for sampled-data nonlinear plant at …

This paper is concerned with the problem of extended dissipativity-based state estimation for
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …

This paper is focused on reliable fuzzy H_∞ controller design for active suspension systems
with actuator delay and fault. The Takagi–Sugeno (T–S) fuzzy model approach is adapted in …

This paper investigates the problem of sampled-data H∞ control of uncertain active
suspension systems via fuzzy control approach. Our work focuses on designing state …

For enhancing the operation efficiency of the fully automatic operation (FAO) system in the
urban rail transit (URT), this paper investigates the robust dynamic train regulation problem …

This article concentrates on the output feedback controller design problem for discrete-time
nonlinear switched systems with actuator faults. The Takagi-Sugeno fuzzy model is adopted …

This paper develops a new fuzzy dynamic outputfeedback control scheme for Takagi-
Sugeno (TS) fuzzy systems with time-varying input delay and output constraints based on …