Consensus of Multi-Agent Systems Based on Tissue-Like Numerical Membrane Computing Model

The conventional serial computing mode of each agent in multi-agent systems will cause time-delays and reduce the state convergence rate of multi-agent systems, which urgently need a more efficient computing mode in an unknown environment. Since the maximum parallelism of membrane computing can provide a full parallel computing mode, tissue-like numerical P systems(TNPSs) inspired by cell-like numerical P systems and conventional tissue-like P systems are proposed for multi-agent systems to reach consensus in this paper. Firstly, tissue-like numerical membrane computing model(TNMCM) is first proposed in this paper, where a distributed cooperative parallel computing method is adopted in TNMCM. Secondly, the model of multi-agent systems based on TNMCM is established to analyse consensus. Finally, the consensus of multi-agent systems based on TNMCM is reached, which is verified by numeric simulations, and the simulation process is executed in PeP and MATLAB.