This article investigates the model predictive control (MPC) for discrete-time Markov jump
systems (MJSs). First, the asynchronization between the modes of the controller and those of …

Wheelchair upper-limb exoskeletons can offer a new paradigm to assist people with
neuromuscular dysfunction in their activities of daily living such as eating and drinking. A key …

This article explores a novel adaptive optimal control strategy for a class of sophisticated
discrete-time nonlinear Markov jump systems (DTNMJSs) via Takagi–Sugeno fuzzy models …

In this paper, the problem of output feedback model predictive control (MPC) for interval
Type-2 Takagi-Sugeno fuzzy systems with bounded disturbance is investigated. The output …

The main aim of this article is to provide a systematic move blocking (MB)-based robust
model predictive control (MPC) for nonlinear systems due to the model uncertainties and …

This article is concerned with the fuzzy functional observer-based finite-time adaptive sliding-
mode control for nonlinear systems with the partly unmeasurable states and some matched …

This article deals with the problem of designing nonlinear distributed control laws for
continuous-time networked nonlinear heterogeneous systems with bounded sector …

In this article, we introduce the design of an artificial fuzzy Lyapunov-based model predictive
integral sliding-mode control to achieve the stability of the closed-loop Takagi–Sugeno fuzzy …

Fuzzy inference systems (FISs) are a predictive modeling technique based on fuzzy sets that
utilize approximate reasoning to mimic the decision-making process of human experts …

Industry 4.0 requires new production models to be more flexible and efficient, which means
that robots should be capable of flexible skills to adapt to different production and …