This paper presents a robust tracking controller for the automatic voltage regulator (AVR)
system, where both system uncertainties and external disturbances are taken into account …

This paper concentrates on the predefined‐time trajectory tracking for an uncertain robotic
manipulator system. First, a modified predefined‐time control (PTC) algorithm is proposed …

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 …

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 …

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 propose a robust control scheme for an under actuated crane system. The
presented scheme contains two controla strategies: feedback control term and corrective …

This paper presents an intelligent scheme to improve the performance of the H infinity
controller by selecting a suitable weighting function that ensures a robust loop shaping …

This paper investigates the problem of preview tracking control for a class of differentiable
nonlinear systems. First, by constructing an augmented error system (AES), the tracking …

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 …

In recent years, robotic systems have been widely used in different applications, and this has
motivated researchers to develop different control methods. A model-free, intelligent, robust …