Bidirectional consistency of multi-agent based on data-driven
Mingqiu Li, Jingxin Cui, Mingzhu Zhao, Jialin Niu · 2023
For the nonlinear discrete-time Multi-agent system of unknown dynamic models, there are cooperation and competition between agents, and the problem of data quantification in communication, a model-free adaptive iterative control (MFAILC) algorithm is proposed. First, the method of compact form dynamic linearization (CFDL) is used to transform the agent system into a model with time-varying parameters, and the quantizer is applied to quantize the data in the process of processing, and the cooperation-competition relationship between multi-agents is considered in algebraic graph theory, on this basis, the MFAILC control algorithm is designed and the convergence of the proposed algorithm is proved. Finally, the simulation results verify the effectiveness of the proposed algorithm.