Fuzzy sliding-mode consensus control for multi-agent systems

A fuzzy sliding-mode consensus control is investigated for multi-agent systems in this paper. The consensus problem is discussed for networks of dynamic agents with external disturbances and model uncertainty. To deal with the consensus problems of the multi-agent system, a novel consensus algorithm combining the concepts of graph theory and fuzzy sliding model control is proposed. According to the communication topology, the consensus stability conditions can be determined so that the fuzzy sliding-mode consensus controller (FSMCC) can be derived. Simulation results are provided to illustrate the effectiveness of the provided control scheme. Compared to the conventional consensus algorithms, the simulation results empirically support the promising performance of desire.