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This paper is concerned with the finite-time disturbance attenuation problem of a class of uncertain nonlinear systems. The analysis is performed based on the finite-time Lyapunov stability theorem. By the backstepping technology, a control law is constructed to make the closed-loop system satisfy finite-time H∞ performance. Finally, simulation results are provided to demonstrate the effectiveness...
Robust control for uncertain nonlinear systems based on T-S fuzzy model is discussed in this paper. Firstly, a T-S fuzzy system is adopted to model the uncertain nonlinear systems. Then, for the system with input variables adopting standard fuzzy partitions, a new sufficient condition to check the stability of T-S fuzzy system with uncertainty is derived, which is expressed in terms of linear matrix...
A robust adaptive neural network control scheme is proposed for a class of strict-feedback nonlinear systems with unknown control directions and unmodeled dynamics. The proposed design method expands the class of nonlinear systems for which robust adaptive control approaches have been studied. A priori knowledge of the signs of the control directions is not required. It is proved that under the proposed...
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