In this paper an adaptive fuzzy decentralized
control algorithm for trajectory tracking of robot manipulators is developed. The proposed decentralized control algorithm allows the overall closed-loop system to be stabilized while making the tracking error to be uniformly ultimately bounded…

The ambiguity, robustness and performance of systems becomes increasingly evident as the complexity and size increase in industrial processes. Under these circumstances, conventional control techniques such as PID control, nonlinear feedback control, LQG control and H∞ control have several disadvantages…