Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4948401 | Neurocomputing | 2016 | 14 Pages |
Abstract
In this paper, the adaptive tracking control approach is framed for a class of switched discrete-time nonlinear systems with unknown parameters. Allowable switching law is constructed and the controller is chosen by switched Lyapunov function schema. Adaptive updating control algorithm for discrete-time nonlinear switched systems are first derived. Moreover, we can prove that the closed-loop switched system is uniformly stable and the output tacking error is guaranteed to converge to a small neighborhood of zero. Lastly, an illustrative example is given to demonstrate the effectiveness of proposed approach.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hao Wang, Yan-Jun Liu, Shaocheng Tong,