Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume 17, Issue 11, Pages 2839-2849Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-018-0595-7
Keywords
Distributed parameter system; fractional order; iterative learning control; multi-agent systems
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Funding
- National Natural Science Foundation of PR China [61573298]
- Key R and D Project in Hunan Province [2018GK2014]
- MOE Key Laboratory of Intelligent Computing and Information Processing
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This paper concerns about the iterative learning consensus control scheme for a class of multi-agent systems (MAS) with distributed parameter models. First, based on the framework of network topologies, a second-order iterative learning control (ILC) protocol is proposed by using the nearest neighbor knowledge. Next, a discrete system for ILC is established and the consensus control problem is then converted to a stability problem for such a discrete system. Furthermore, by using generalized Gronwall inequality, a sufficient condition for the convergence of the consensus errors between any two agents is obtained. Finally, the validity of the proposed method is verified by two numerical examples.
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