output-feedback control for discrete-time spreading models in complex networks
Clicks: 149
ID: 156991
2018
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Abstract
The problem of stabilizing the spreading process to a prescribed probability distribution over a complex network is considered, where the dynamics of the nodes in the network is given by discrete-time Markov-chain processes. Conditions for the positioning and identification of actuators and sensors are provided, and sufficient conditions for the exponential stability of the desired distribution are derived. Simulations results for a network of N = 10 6 corroborate our theoretical findings.
| Reference Key |
ramos2018entropyoutput-feedback
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|---|---|
| Authors | ;Luis A. Alarcón Ramos;Roberto Bernal Jaquez;Alexander Schaum |
| Journal | European journal of medicinal chemistry |
| Year | 2018 |
| DOI |
10.3390/e20030204
|
| URL | |
| Keywords | Keywords not found |
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