Robust flow measurement in multi-phase systems has extensive applications in
understanding, design, and operation of complex environmental, energy and industrial …

In this study, we propose the OISMC approach for robust control under various
unpredictable uncertainties. The approach uses optimal control (LQR gains) to deliver state …

The sliding mode control (SMC) has yet proven its efficiency through several theoretical
researches. Indeed, the robotic field is recognized as one of the main SMC portals on …

Due to simplicity and robustness, classical PID and SMC have been still widely used in
practical applications. Performance of these controllers (PID and SMC) depends upon the …

This paper proposes development of an intelligent algorithm naming Fuzzy Sliding Mode
Controller (FSMC) with global stabilization and saturation function for the trajectory control of …

Incremental Adaptive Control is proposed to design the control allocation for a V-Tail UAV.
This approach is able to improve performance and reliability when the UAV experiences …

Sliding mode control is a nonlinear method in control systems, adjusts the dynamics of a
nonlinear system by using a discontinuous control signal to guide the system along a …

In this work, the design procedure of a hybrid robust controller for crane system is presented.
The proposed hybrid controller combines the linear quadratic regulator (LQR) properties …

The SMC is a variable structure control method. It is used in robust control with bound
disturbance and change parameters systems. However, a chattering is a weakness of …

In this paper, we proposed a real-coded genetic solution for a Fuzzy Sliding Mode Controller
(FSMC) of a nonlinear inverted pendulum system to stabilize the pole angle and avoid the …