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  1. 2 Open Physics

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  1. 1 2014

  2. 1 2013

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  1. 2 Cheng Y.

  2. 2 Tu C.

  3. 1 Chen K.

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Realizing actual feedback control of complex network

100%
Tu C., Cheng Y.
Open Physics
|
2014
|
vol. 12
|
issue 6
406-414
EN
In this paper, we present the concept of feedbackability and how to identify the Minimum Feedbackability Set of an arbitrary complex directed network. Furthermore, we design an estimator and a feedback controller accessing one MFS to realize actual feedback control, i.e. control the system to our desired state according to the estimated system internal state from the output of estimator. Last but not least, we perform numerical simulations of a small linear time-invariant dynamics network and a real simple food network to verify the theoretical results. The framework presented here could make an arbitrary complex directed network realize actual feedback control and deepen our understanding of complex systems.
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Estimating the varying topology of discrete-time dynamical networks with noise

81%
Tu C., Cheng Y., Chen K.
Open Physics
|
2013
|
vol. 11
|
issue 8
1045-1055
EN
We propose an improved method to estimate the varying topology of discrete-time dynamical networks using autosynchronization. The networks considered in this paper can be weighted or unweighted and directed or undirected, and the dynamics of each node can be nonuniform. Furthermore, we suggest using a moving-average filter to suppress the influence of noise on parameter estimation. Finally, several examples are illustrated to verify the theoretical results by numerical simulation.
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