Path plant network

We employ our customized algorithm using graphsp_IP_res.m to grow a resistive path network with 10 nodes. We set R = I and choose the state weight that penalizes the mean-square deviation from the network average, Q = I - (1/n) mathbf{1} mathbf{1}^T.

As shown below, for gamma=0, we obtain a centralized controller that requires information exchange between all nodes. As gamma increases, the number of added edges gradually decreases. Finally, for gamma = 0.96 , gamma_{max}, a single edge is added and this edge generates the longest cycle. This is in agreement with recent theoretical developments of Zelazo, Schuler, and Allgower ’13 where it was shown that the longest cycle is most beneficial for improving the {cal H}_2 performance of tree networks.

Blue lines identify edges in the plant graph; red lines identify edges in the controller graph; gamma_{max} identifies the value of the regularization parameter gamma for which all edge weights in the controller graph are equal to zero.

 

gamma , = , 0

 

gamma , = , 0.09 ,gamma_{max}

 

gamma , = , 0.24 ,gamma_{max}

 

gamma , = , 0.96 ,gamma_{max}