Fault detection, isolation and optimal control have long been applied to industry. These
techniques have proven various successful theoretical results and industrial applications …

In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (TS)
fuzzy systems with actuator saturation and system uncertainty. By the delta operator …

Although fuzzy control was initially introduced as a model-free control design method based
on the knowledge of a human operator, current research is almost exclusively devoted to …

The most studied controller for pitch control of wind turbines is proportional-integral-
derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind …

This paper presents model-free sliding mode controllers and Takagi-Sugeno fuzzy
controllers for the flux and conductivity control of Reverse Osmosis Desalination Plants …

This paper proposes a new approach to the stable design of fuzzy logic control systems that
deal with a general class of chaotic processes. The stable design is carried out on the basis …

This paper presents the design of Takagi-Sugeno fuzzy controllers in state feedback form
using swarm intelligence optimization algorithms. Three such algorithms are used: Particle …

In this paper, a class of uncertain linear dynamical systems called fuzzy fractional linear
dynamical systems is investigated. The aim is to find control inputs to keep the states of the …

This paper addresses an output feedback stabilization problem for a class of stochastic
nonlinear systems with unmodeled dynamics preceded by hysteretic quantized input. To …

The optimal design problem of adaptive robust control for fuzzy mechanical systems with
uncertainty is investigated in this paper. The uncertainty that may be nonlinear and (possibly …