This study introduces a fuzzy control design method for nonlinear systems with a guaranteed
H/sub/spl infin//model reference tracking performance. First, the Takagi and Sugeno (TS) …

This study introduces a fuzzy linear control design method for nonlinear systems with
optimal H/sup/spl infin//robustness performance. First, the Takagi and Sugeno fuzzy linear …

This paper presents the design and analysis of an intelligent control system that inherits the
robust properties of sliding-mode control (SMC) for an n-link robot manipulator, including …

This article proposes a novel prescribed performance-based neural adaptive control
scheme for robot manipulators including motor dynamics under model uncertainties without …

Computed Torque Control (CTC) is an effective motion control strategy for robotic
manipulator systems, which can ensure globally asymptotic stability. However, CTC scheme …

In this paper, a fuzzy disturbance observer (FDO) is developed and its application to the
control of a nonlinear system under the internal and external disturbances is presented. To …

Many robot controllers require not only joint position measurements but also joint velocity
measurements; however, most robotic systems are only equipped with joint position …

This paper focuses on the development of adaptive fuzzy neural network control (AFNNC),
including indirect and direct frameworks for an n-link robot manipulator, to achieve high …

This paper proposes a fuzzy bilinear model for a class of nonlinear systems and a fuzzy
controller to stabilize such systems. By examination of a modeling problem, we describe …

This paper addresses the design and analysis of an intelligent control system for an n-link
robot manipulator to achieve the high-precision position tracking. According to the concepts …