Actuator fault-tolerant control for discrete Takagi-Sugeno fuzzy systems using the matrices norms approach.

Autor: Hamadou, Meroua, Belarbi, Khaled

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Mar2024, Vol. 238 Issue 3, p571-579, 9p

Accelerated micro particle swarm optimization for the solution of nonlinear model predictive control

Autor: Merabti, Halim, Belarbi, Khaled

Publikováno v: World Journal of Engineering, 2017, Vol. 14, Issue 6, pp. 509-521.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/WJE-01-2017-0004

Design of Fuzzy Observers and Output Feedback Fuzzy Controllers for Takagi–Sugeno Discrete Systems Via the Matrices Norms Approach.

Autor: Hamadou, Meroua, Belarbi, Khaled

Publikováno v: Journal of Control, Automation & Electrical Systems; Aug2023, Vol. 34 Issue 4, p709-719, 11p

Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator

Autor: Bahita Mohamed, Belarbi Khaled

Publikováno v: Serbian Journal of Electrical Engineering, Vol 8, Iss 3, Pp 307-323 (2011)

In this work, we introduce an adaptive neural network controller for a class of nonlinear systems. The approach uses two Radial Basis Functions, RBF networks. The first RBF network is used to approximate the ideal control law which cannot be imple

Externí odkaz: https://doaj.org/article/088c8fe5d01b4efc94e63357282c8c6f

Real Time Tracking Trajectory and Obstacle Avoidance for Two Mobile Robots by FLC and NMPC.

Autor: MERABTI, Halim, ALIOUCHE, Ibrahim, BOUHALLIT, Abdelkadir, BELARBI, Khaled, NEZZARI, Hassene, BENAMMAR, Abdessalem

Publikováno v: International Journal on Electrical Engineering & Informatics; Dec2021, Vol. 13 Issue 4, p951-964, 14p