机译:离散网络系统中有界噪声下的共识:一种快速收敛且精度高的算法
State Key Laboratory of Industrial Control Technology and the Innovation Joint Research Center for Industrial Cyber Physical Systems, Zhejiang University, Hangzhou, China;
State Key Laboratory of Industrial Control Technology and the Innovation Joint Research Center for Industrial Cyber Physical Systems, Zhejiang University, Hangzhou, China;
State Key Laboratory of Industrial Control Technology and the Innovation Joint Research Center for Industrial Cyber Physical Systems, Zhejiang University, Hangzhou, China;
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong;
State Key Laboratory of Industrial Control Technology and the Innovation Joint Research Center for Industrial Cyber Physical Systems, Zhejiang University, Hangzhou, China;
Noise; Convergence; Accuracy; Algorithm design and analysis; Upper bound; Network topology; Topology;
机译:离散时间随机近似达成算法的收敛速率:与图形相关的限制界限
机译:直接网络中多Agent系统的有界共识算法
机译:离散动力系统网络中的自适应领导者跟踪:算法和全局收敛性分析
机译:网络共识算法快速收敛的拓扑设计
机译:反向传播算法的修改,可以在神经网络中更快地收敛。
机译:噪声存在下一类用于稀疏信号恢复的迭代加权最小二乘算法的收敛性和稳定性
机译:高效的共识算法,用于分布式传感器网络中具有更快收敛速度的准确故障节点跟踪