Leader‐following consensus for nonlinear agents with measurement feedback
Stefano Battilotti, Claudia Califano · International Journal of Robust and Nonlinear Control · 2019
Summary The leader‐following consensus problem is investigated for large classes of nonlinear identical agents. Sufficient conditions are provided for achieving consensus via state and measurement feedback laws based on a local (ie, among neighbors) information exchange. The leader's trajectories are assumed bounded without knowledge of the containing compact set and the agents' trajectories possibly unbounded under the action of a bounded input. Generalizations to heterogeneous agents and robustness are also discussed.