Yang, C., Jiang, Y., Na, J., Li, Z., Cheng, L. and Su, C.Y. (2019) Finite Time Convergence Adaptive Fuzzy Control for Dual Arm Robot with Unknown Kinematic and Dynamics. IEEE Transactions on Fuzzy Systems, 21, 759-770.
https://doi.org/10.1109/TFUZZ.2018.2864940

has been cited by the following article:

• TITLE: Fuzzy Logic Deadzone Compensation with Feedback Linearization of Nonlinear Systems

  AUTHORS: Jun Oh Jang

  KEYWORDS: Deadzone Compensation, Feedback Linearization, Fuzzy Logic, Stability

  JOURNAL NAME: Applied Mathematics, Vol.10 No.3, March 21, 2019

  ABSTRACT: A fuzzy logic compensator is designed for feedback linearizable nonlinear systems with deadzone nonlinearity. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is simulated on a one-link robot system to show its efficacy.