Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
494474 | Neurocomputing | 2016 | 7 Pages |
Abstract
This paper is concerned with a tracking control issue for a class of switched stochastic systems with quantized input. To overcome the difficulty caused by the switching and quantization, a nonlinear decomposition strategy for quantizer is firstly proposed, then by using the common Lyapunov function method, a systematic adaptive control scheme is presented. It is proved that, under the proposed control scheme, the good control performance is obtained although influenced by the effect of switching and quantization. Furthermore, the validity of the proposed control scheme is verified by the simulation results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fang Wang, Bing Chen, Chong Lin, Gang Li, Yumei Sun,