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针对数字信道中传输的是经过量化和编码后的数据,研究了切换拓扑情况下连续时间一阶积分器网络中的量化趋同问题.通过均匀量化器,每个智能体将量化后的状态传输给邻居,并利用所得信息设计协议,实现量化趋同.在所提出的量化趋同协议下,所有状态将在有限时间内进入包含状态均值的量化层中.特别地,对于通信拓扑是时不变的情况,给出了实现量化趋同所需时间的上界.仿真结果验证了所提出算法的有效性.
In the case of digital channels, the quantized and encoded data are transmitted and the convergence of quantization in the first-order integrator networks with switched topologies is studied. With the uniform quantizer, each agent transfers the quantized states to Neighbors, and use the resulting information to design the protocol to achieve the quantitative convergence. Under the proposed quantitative convergence protocol, all states will enter the quantized layer containing the state means for a limited time.In particular, the situation is constant for the communication topology , Gives the upper bound of the time needed to achieve the quantitative convergence.The simulation results verify the effectiveness of the proposed algorithm.