切换拓扑一阶积分器网络量化趋同控制

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.

Quantized consensus of first-order integrator networks with switching topologies

In the real digital channel, only quantized symbolic data can be transmitted. Therefore, the quantized consensus
problem of continuous-time first-order agents under switching communication topologies is investigated. Each agent uses the uniformly quantized states received from its neighbors to update its state, and quantized consensus is achieved. Under the proposed protocol and assumptions, all the states can go into the quantization bin containing the average of initial states in finite time. Particularly, under time-invariant topologies, the upper bound of the convergence time is given. Simulation results demonstrate the effectiveness of the proposed protocol.