A passivity-based fault detection and isolation framework for nonlinear diffusively-coupled multi-agent networks, with graph-theoretic guarantees on the number of simultaneously isolable link faults.
Synchronization of intercon- nected systems with applications to biochemical networks: An input- output approach,
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Monitoring Link Faults in Nonlinear Diffusively-coupled Networks
A passivity-based fault detection and isolation framework for nonlinear diffusively-coupled multi-agent networks, with graph-theoretic guarantees on the number of simultaneously isolable link faults.