Abstract
In this paper, we consider both bipartite consensus and scaled consensus control of high-order multi-agent systems with antagonistic interactions and unknown disturbances. The interaction topology associated with the multi-agent system is described by a coopetition network and modelled by a signed graph. Linearly parameterised approaches are used to model the unknown disturbances. For the bipartite consensus problem, a distributed adaptive state-feedback controller is designed for each agent. For the scaled consensus problem, a distributed adaptive controller is designed for each agent by using a projection mechanism. The convergence of the bipartite consensus errors and the scaled consensus errors is analysed with the help of a Lyapunov function method and the Barbalat's Lemma. Some simulation results are provided to demonstrate the effectiveness of the proposed adaptive control strategies.
Original language | English |
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Pages (from-to) | 909-922 |
Number of pages | 14 |
Journal | International Journal of Control |
Volume | 94 |
Issue number | 4 |
DOIs | |
State | Published - 2021 |
Keywords
- Bipartite consensus
- adaptive control
- coopetition network
- high-order multi-agent system
- scaled consensus