Many industrial processes have challenging issues such as complex nonlinear nature, high
sensitivity to disturbances and existence of parametric uncertainties. A Quadruple Tank …

Face recognition, emotion recognition represent the important bases for the human machine
interaction. To recognize the person's emotion and face, different algorithms are developed …

To deal with the uncertainty and disturbance that exist in the tracking system of an
aerospace vehicle, an adaptive trajectory-tracking method based on a novel tracking model …

This paper presents a robust nonlinear control strategy based on second-order continuous
sliding mode control called Super-Twisting Sliding Mode Control (ST-SMC) strategy of a …

In this paper, a novel algorithm based machine learning technique for control nonlinear
coupled tanks system is presented. An intelligent controller using adaptive neuro-fuzzy …

Considering the precise model information of the aerospace model is not always available
under the effect of external disturbance and model uncertainty, a new data‐driven point‐to …

This In recent decades, many researchers proposed fuzzy Sliding Mode Control (SMC)
strategies that aim to eliminate the chattering problem in control of Multi-Input-Multi-Output …

This paper proposes a new methodology for designing a controller for the tracking control
problem in a 2 DoF helicopter system. The control problem is formulated as a nonlinear …

This paper presents the design of a longitudinal controller for an autonomous unmanned
aerial vehicle (UAV). This paper proposed the dual loop (inner-outer loop) control based on …

This paper presents a robust control method for the trajectory control of the robotic
manipulator. The standard Computed Torque Control (CTC) is an important method in the …