Adaptive fault tolerant control against actuator faults.

This paper investigates the problem of adaptive fault tolerant control for a class of dynamic systems with unknown un-modeled actuator faults. The fault model is assumed to be an unknown nonlinear function of control input, not in the traditional form in which the faults can be described as gain and/or bias faults. Using the property of the basic function of neural networks and the implicit function theorem, a novel neural networks-based fault tolerant controller is designed. Finally, the lateral dynamics of a front-wheeled steered vehicle is used to demonstrate the efficiency of the proposed design techniques. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]