Dynamic control, including robotic control, faces both the theoretical challenge of obtaining
accurate system models and the practical difficulty of defining uncertain system bounds. To …

This paper proposes a novel adaptive fuzzy super‐twisting sliding mode control scheme for
microgyroscopes with unknown model uncertainties and external disturbances. Firstly, an …

Robust fuzzy model predictive control of discrete nonlinear systems is investigated in this
paper. A recently developed Takagi-Sugeno (TS) fuzzy approach which uses nonlinear local …

In the cases of designing fuzzy control systems, tuning and optimizing fuzzy controllers are
challenging problems. This work proposes an optimal fuzzy system to control the operations …

This paper investigates the problem of mean square stabilization for sampled-data Takagi-
Sugeno (TS) fuzzy networked control systems with random packet dropouts. The packet …

This paper addresses the stability and stabilization problems of uncertain Takagi–Sugeno
(TS) fuzzy system with control packet dropout. The process of packet loss is proposed, which …

This paper studies a class of heterogeneous delayed impulsive neural networks with
memristors and their collective evolution for multisynchronization. The multisynchronization …

This paper studies the stability and stabilization problems of the TS fuzzy systems with
uncertainty and state quantization. Considering that fuzzy membership functions (FMFs) are …

The problem of nonaffine time-varying nonlinear control systems is addressed in this paper
through an adaptive state-space neuro-fuzzy control scheme. It combines an eight-layered …

In this work, an adaptive backstepping sliding mode control approach is applied through the
piezoelectric layer in order to control and to stabilize an electrostatic micro-plate. The …