supported by the National Natural Science Foundation of China(61433003,60904003,11602019).
A fast self-adapting high-order sliding mode(FSHOSM)controller is designed for a class of nonlinear systems with unknown uncertainties.As for uncertainty-free nonlinear system,a new switching condition is introduced i...
supported by the Natural Science Foundation of Heilongjiang Province(E201426)
An adaptive backstepping-based non-singular termi- nal sliding mode (NTSM) control method is proposed for a class of uncertain nonlinear systems in the parameteric-strict feedback form. The adaptive control law is c...
The purpose of this paper is the design of neural network-based adaptive sliding mode controller for uncertain unknown nonlinear systems. A special architecture adaptive neural network, with hyperbolic tangent activat...
supported by the US National Science Foundation (CMMI-1052872);the Ministry of Education of China
An adaptive robust approach for actuator fault-tolerant control of a class of uncertain nonlinear systems is proposed.The two chief ways in which the system performance can degrade following an actuator-fault are unde...
supported by the National Natural Science Foundation of China(60328304);the"111"project of Beihang University (B07009)
This paper considers robust fault detection and diagnosis for input uncertain nonlinear systems. It proposes a multi-objective fault detection criterion so that the fault residual is sensitive to the fault but insensi...