Abstract
In this paper, the adaptive filtering problem for unknown genetic regulatory networks with disturbance attenuation is investigated based on Lyapunov method and adaptive techniques. A new regulatory network and several adaptive laws are designed to ensure the stochastic stability of the error states between the unknown and the estimated networks. The designed adaptive laws are independent of the unknown system states and parameters, where the only required information is the structure of the network. A simulation example is given to verify the theoretical results.
| Original language | English |
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| Title of host publication | Proceedings of the 27th Chinese Control Conference, CCC |
| Pages | 414-418 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 27th Chinese Control Conference (CCC' 08) - Kunming, Yunnan, China Duration: 16 Jul 2008 → 18 Jul 2008 |
Conference
| Conference | 27th Chinese Control Conference (CCC' 08) |
|---|---|
| Place | China |
| City | Kunming, Yunnan |
| Period | 16/07/08 → 18/07/08 |
Research Keywords
- Adaptive filtering
- Disturbance attenuation
- Genetic regulatory network
- Lyapunov method
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