Consensus of Multiagent Systems Subject to Partially Accessible and Overlapping Markovian Network Topologies

• Published in: IEEE transactions on cybernetics Vol. 47; no. 8; pp. 1807 - 1819
• Main Authors: Ge, Xiaohua, Han, Qing-Long
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accessibility; Consensus; Distributed processing; Eigenvalues and eigenfunctions; Markov processes; Markovian network topologies; Multi-agent systems; Multiagent systems; multiagent systems (MASs); Network topologies; Network topology; network topology mode regulator (NTMR); overlapping modes; Protocol; Protocol (computers); Protocols; Schedules; Switches; Topology
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2016.2570860

This paper addresses the consensus problem for a continuous-time multiagent system (MAS) with Markovian network topologies and external disturbance. Different from some existing results, global jumping modes of the Markovian network topologies are not required to be completely available for consensus protocol design. A network topology mode regulator (NTMR) is first developed to decompose unavailable global modes into several overlapping groups, where overlapping groups refer to the scenario that there exist commonly shared local modes between any two distinct groups. The NTMR schedules which group modes each agent may access at every time step. Then a new group mode-dependent distributed consensus protocol on the basis of relative measurement outputs of neighboring agents is delicately constructed. In this sense, the proposed consensus protocol relies only on group and partial modes and eliminates the need for complete knowledge of global modes. Sufficient conditions on the existence of desired distributed consensus protocols are derived to ensure consensus of the MAS with a prescribed H_{\infty } performance level. Two examples are provided to show the effectiveness of the proposed consensus protocol.