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Distributed Adaptive Neural Interval Observers for Unknown Nonlinear Systems
This paper develops a distributed adaptive neural interval observer for unknown nonlinear systems with locally incomplete measurements. Each sensor node constructs lower and upper state estimates using its local output and neighboring observer information, while unknown nonlinear dynamics are approx
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