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Leader‐following consensus for nonlinear agents with measurement feedback
Author(s) -
Battilotti S.,
Califano C.
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4458
Subject(s) - robustness (evolution) , bounded function , nonlinear system , control theory (sociology) , multi agent system , consensus , computer science , set (abstract data type) , state (computer science) , mathematics , mathematical optimization , control (management) , algorithm , artificial intelligence , mathematical analysis , biochemistry , chemistry , physics , quantum mechanics , gene , programming language
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.