Neural Network Controller for Two links- Robotic Manipulator Control with Different Load

In this paper, a neural network based internal model control is designed for a pH process and its performance is compared with conventional PI controller and inverse neuro

he objective is to actively control the spacecrat attitude while the robotic manipulator is operating and then analyze the impact of arms motion on the control efort.. Two

In this study, a predictive controller using a feed- forward neural network with online adaptation of the parameters was used in the temperature control of a batch process for

In this paper, the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and

Abstract – A new improvisation algorithm based on parameter estimation process for the imitation control of a robotic acoustic musical device “ROMI”, is presented in this

In this paper, a robust neural network global sliding mode PID-controller is proposed to control a robot manipulator with parameter variations and external disturbances.. In

In this paper, based on Lyapunov method, an adaptive fuzzy control scheme combining backstepping is presented for the two-link robot manipulator system which has two

Abstract — in this paper, a new method is derived for the existence of a common quadratic Lyapunov function for Robust Stability Analysis of Fuzzy Elman Neural Network using