Name
Abstract | ||
|---|---|---|
The paper investigates the variable structure control for stabilization of Boolean networks (BNs). The design of variable structure control consists of two steps: determine a switching condition and determine a control law. We first provide a method to choose states from the reaching mode. Using this method, we can guarantee that the number of nodes which should be controlled is minimized. According to the selected states, we determine the switching condition to guarantee that the time of global stabilization in the BN is the shortest. A control law is then determined to ensure that all selected states can enter into the sliding mode, such that any initial state can arrive in the steady-state mode. Some examples are provided to illustrate the theoretical results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.neunet.2017.09.012 | Neural Networks |
Keywords | Field | DocType |
Boolean network,Variable structure control,Semi-tensor product of matrices,Stabilization | Boolean network,Mathematical optimization,Control theory,Controller design,Variable structure control,Mathematics | Journal |
Volume | Issue | ISSN |
97 | 1 | 0893-6080 |
Citations | PageRank | References |
2 | 0.36 | 26 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| liangjie sun | 1 | 49 | 2.81 |
| Jianquan Lu | 2 | 2337 | 116.05 |
| Yang Liu | 3 | 551 | 32.55 |
| Tingwen Huang | 4 | 5684 | 310.24 |
| Fuad E. Alsaadi | 5 | 1818 | 102.89 |
| Tasawar Hayat | 6 | 999 | 71.98 |