Article citationsMore>>

Li, H., Bai, L., Wang, L., Zhou, Q. and Wang, H. (2017) Adaptive Neural Control of Uncertain Nonstrict-Feedback Stochastic Nonlinear Systems with Output Constraint and Unknown Dead Zone. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47, 2048-2059.
https://doi.org/10.1109/tsmc.2016.2605706

has been cited by the following article:

• TITLE: Observer Based Control for a Class of Systems with Output Deadzone Nonlinearity

  AUTHORS: Nizar J. Alkhateeb, Hameed K. Ebraheem

  KEYWORDS: Adaptive Output Observer, Deadzone Compensation, Robot Manipulator, Sliding Mode Control

  JOURNAL NAME: Intelligent Control and Automation, Vol.15 No.3, August 30, 2024

  ABSTRACT: In this paper, a combination of model based adaptive design along with adaptive linear output feedback controller is used to compensate for robotic manipulator with output deadzone nonlinearity. The deadzone dynamics are utilized to adaptively estimate the deadzone parameter and a switching function is designed to eliminate the error produced in the adaptive observer dynamics. The overall design of the closed loop system ensures stability in the BIBO criterion.