This paper is concerned with the stabilization problem for a class of nonlinear systems. Using second-order sliding mode control approach, a robust control scheme is established to make the states of system to zero or into predictable bounds for matched and unmatched uncertainties, respectively. Mea
An adaptive sliding mode control scheme for a class of chaotic systems with mismatched perturbations and input nonlinearities
β Scribed by Wei Xiang; Fangqi Chen
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 392 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1007-5704
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β¦ Synopsis
This paper is concerned with the stabilization problem for a class of chaotic systems with mismatched perturbations and input nonlinearities. A novel sliding surface is specially designed so that when the system enters the sliding mode, the mismatched perturbations can be effectively overcome and achieve asymptotic stability. Then, an adaptive sliding mode controller (ASMC) is proposed to drive the controlled state trajectories into the designated sliding surface in finite time even subjected to input nonlinearities. Finally, the corresponding numerical simulations are demonstrated to verify the effectiveness of proposed method.
π SIMILAR VOLUMES
Based on the universal approximation property of the fuzzy-neural networks, an adaptive fuzzy-neural observer design algorithm is studied for a class of nonlinear SISO systems with both a completely unknown function and an unknown dead-zone input. The fuzzy-neural networks are used to approximate th
Owing to the singularity problem having not been considered in control design process, we present some points to improve the results of paper [Wei Xiang, Yugao Huangpu, secondorder terminal sliding mode controller for a class of chaotic systems with unmatched uncertainties, Commun Nonlinear Sci Nume