Monitoring Link Faults in Nonlinear Diffusively-coupled Networks

Fault detection and isolation is an area of engineering dealing with designing online protocols for systems that allow one to identify the existence faults, pinpoint their exact location, overcome them. We consider multi-agent systems, where faults correspond disappearance links in underlying graph, simulating communication failures between agents. study case which agents controllers are maximal equilibrium-independent passive, use known connection steady states these network optimization theory. first asymptotic methods differentiating faultless system from its faulty versions by studying steady-state outputs. explain how apply differentiation detect isolate graph-theoretic guarantees on number can be isolated, assuming a “convergence assertion protocol,” data-driven method asserting converges conjectured limit. then construct two data-based convergence protocols. demonstrate our results study.