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H. Tomohisa, M. Wassim, Y. Konstantin, “Neural network hybrid adaptive control for nonlinear uncertain impulsive dynamical systems,” Nonlinear Analysis: Hybrid Systems, Vol. 2, pp. 862–874, 2008.

has been cited by the following article:

• TITLE: Sliding Mode Control with Auto-Tuning Law for Maglev System

  AUTHORS: L.L. Zhang, Z.Z. Zhang, Z.Q. Long, A.M. Hao

  KEYWORDS: Sliding Mode Control, Maglev System, Lyapunov Theory, Auto-Tuning

  JOURNAL NAME: Engineering, Vol.2 No.2, March 15, 2010

  ABSTRACT: This paper presents a control strategy for maglev system based on the sliding mode controller with auto-tuning law. The designed adaptive controller will replace the conventional sliding mode control (SMC) to eliminate the chattering resulting from the SMC. The stability of maglev system is ensured based on the Lyapunov theory. Simulation results verify the effectiveness of the proposed method. In addition, the advantages of the proposed controller are indicated in comparison with a traditional sliding mode controller.