We consider the problem of making a networked system contracting by designing “minimal effort” local controllers. Our method combines a hierarchical contraction characterization and a matrix-balancing approach to stabilizing a… Click to show full abstract
We consider the problem of making a networked system contracting by designing “minimal effort” local controllers. Our method combines a hierarchical contraction characterization and a matrix-balancing approach to stabilizing a Metzler matrix via minimal diagonal perturbations. We demonstrate our approach by designing local controllers that render contractive a network of FitzHugh–Nagumo neurons with a general topology of interactions.
               
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