In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains Ke and kdce to ensure the stability of the control in real time .the simulations results obtained by using Matlab environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.

This paper presents the contribution of a fuzzy controller to compensate the influence of stator resistance variation which can degrade the performance and stability of a direct torque control (DTC). Nevertheless, the original term DTC refers to a strategy that provides good performance, but it also has some negative aspects to the level of switching and inaccuracy in the engine model which recommends the use of a new technique the SVM which proposes an algorithm based on the modulation of the space vector in order to carry out a predictive regulation of the torque and flux of the induction motor and provides a fixed switching frequency, thus improving the dynamic response and the static behavior of the DTC.

Induction generator with direct field oriented control is preferred for high performance applications due to its excellent dynamic behavior. The accuracy for the dual star induction generator control in the remote area highly depends on estimating the undetectable machine parameter values, such as the magnetizing inductance and flux. The aim of this paper is to propose a novel direct rotor flux oriented control with online estimation of magnetizing current, which applied to stand alone dual star induction generator supplying a wind turbine in remote area. The induction generator is connected to nonlinear load through two PWM rectifiers. The results of the proposed technique based on the magnetizing inductance estimation that used to control of induction generator shows an importance to determine the rotor flux position.

Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists who gather around the "theories of uncertainty". The ramifications of fuzzy logic extend to fields as varied as control, the diagnosis of complex systems, bioinformatics, decision support. Research work is done in bio-informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was carried out under general anesthesia with propofol. We use in our work some parameters influencing the patient’s condition during the course of surgery to control their effects on the depth of general anesthesia by fuzzy logic. In this paper, we propose using the environment MatLab R2017a to realize this application. A comparison between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. This study will serve as a guide in developing new anesthesia control systems for patients.

The main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by EulerNewton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.

The main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by Euler-Newton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.

Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.