PROJECT TITLE :

A Nonlinear Transformation for Reaching Dynamic Consensus in Multi-Agent Systems

ABSTRACT:

Employing a novel nonlinear time-variant transformation, we tend to construct an express type of nonlinear consensus protocol that achieves dynamic consensus in multi-agent systems. A distinguishing feature of our protocol is that, under gentle assumptions, exponential convergence is preserved from the consensus protocol in the first coordinates. Hence, consensus with switching graphs and massive coupling delays, or consensus on general functions can be achieved if the protocol in the original coordinates will. Similar results are still rare in literature for nonlinear dynamics.


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