基于预测机制的2阶离散多自主体系统的一致性协议

Predictive Mechanisms-based Consensus Protocol of Second-order Discrete-time Multi-agent Systems

  • 摘要: 针对离散时间2阶多自主体系统的一致性问题,设计了基于预测机制的一致性协议,并利用代数理论得到关于模型预测控制(MPC)最优解的等价解,该等价解不含逆矩阵,计算量少,有利于理论分析.同时给出了多自主体系统达到一致性的充分必要条件,并分析了协议参数对系统收敛性的影响.仿真结果表明:引入预测机制的协议在等价解作用下能扩展离散系统采样步长和提高多自主体系统的一致性收敛速度,能够增强系统稳定性.

     

    Abstract: We design a consensus protocol based on predictive mechanisms for the second-order discrete-time multi-agent systems and present an equivalent form of the general numerical solution of the model predictive control (MPC) by algebraic theory. A new protocol with equivalent solution without an inverse matrix is beneficial to the theoretical analysis and avoids ahigh computing cost. We also obtain the necessary and sufficient convergence conditions of our proposed protocol and analyze the influence of the protocol parameters on the system's convergence. Simulation results show that the protocol can extend the sampling interval of the discrete-time system, accelerate the convergence rate of the multi-agent systems, and enhance the system's stability.

     

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