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Deviated linear cyclic pursuit
Author(s) -
Dwaipayan Mukherjee,
Debasish Ghose
Publication year - 2015
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2015.0682
Subject(s) - set (abstract data type) , mathematics , stability (learning theory) , stability theory , control theory (sociology) , computer science , mathematical optimization , nonlinear system , physics , artificial intelligence , control (management) , quantum mechanics , machine learning , programming language
This paper analyses deviated linear cyclic pursuit in which an agent pursues its leader with an angle of deviation in both the continuous- and discrete-time domains, while admitting heterogeneous gains and deviations for the agents. Sufficient conditions for the stability of such systems, in both the domains, are presented in this paper along with the derivation of the reachable set, which is a set of points where the agents may converge asymptotically. The stability conditions are derived based on Gershgorin's theorem. Simulations validating the theoretical results presented in this paper are provided

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