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Iterative learning based consensus control for distributed parameter multi-agent systems with time-delay.
- Source :
-
Neurocomputing . Sep2019, Vol. 357, p77-85. 9p. - Publication Year :
- 2019
-
Abstract
- This paper concerns about the iterative learning consensus control scheme for a class of multi-agent systems (MAS) with delay distributed parameter models. First, based on the framework of network topologies and using the nearest neighbor knowledge, a second-order iterative learning consensus control protocol is proposed. Next, under the proposed controller, a discrete dynamic system with respect to the iteration number variable is established and the consensus control problem is then converted to a stability problem of a discrete dynamic system. Furthermore, a sufficient condition for the convergence of the consensus errors between any two agents is obtained. Finally, the simulation examples illustrate the validity of the proposed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 357
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 136690806
- Full Text :
- https://doi.org/10.1016/j.neucom.2019.04.064