| Autor: |
Sun, Yaping, Su, Housheng, Wang, Xiaoling, Zhang, Hai-Tao |
| Předmět: |
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| Zdroj: |
IEEE Transactions on Systems, Man & Cybernetics. Systems; Dec2021, Vol. 51 Issue 12, p7801-7812, 12p |
| Abstrakt: |
This article investigates the observer-based non-negative scaled edge-consensus problems of a continues-time networked system with or without input saturation, in which the proposed algorithm only uses the neighboring edges’ outputs. First, the original networked model and preliminary algorithm are simplified by using the line graph theory and constructing a new variable. Then the specific mathematical formulations of feedback matrix and observer matrix are both derived by combining $H_{\infty }$ control theory and low-gain feedback technique. Next, sufficient conditions which can guarantee the non-negative edge states and bounded control inputs are obtained. Moreover, the advantages of low-gain feedback technique for guaranteeing the non-negative edge states and designing the algorithm are developed. Finally, three cases are used to verify the validity of the theorems. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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