Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406458 | Neurocomputing | 2014 | 6 Pages |
Abstract
The problem of passivity-based fault-tolerant synchronization for neural networks with actuator failures is addressed in this paper. The actuator failures are modeled as random variables by using the semi-Markov jump model for the first time. A criterion is proposed to ensure that the synchronization error system is reliably passive. Then, a desired fault-tolerant controller is designed, which takes the possible actuator failures into account. A numerical example is given to show effectiveness of our proposed design method.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jing Wang, Hao Shen,