The data packet dropouts phenomenon is usually inevitable when information transmitted among communication networks. In this paper, the robust stabilization problem for uncertain networked control systems with data pa...
详细信息
The data packet dropouts phenomenon is usually inevitable when information transmitted among communication networks. In this paper, the robust stabilization problem for uncertain networked control systems with data packet dropouts is studied. First, an uncertain discrete-time switching system model is presented to describe these networked control systems. The stability equivalence is then proved between this switching system and an uncertain impulsive difference ***, a sufficient condition is obtained for the asymptotical stability of the nonlinear impulsive difference system. From this condition the robust stabilization problem is dealt with for the uncertain impulsive system. Main results are given in linear matrix inequalities. Finally a numerical example is given to illustrate the theoretical results.
针对电子标签位置不确定的物流射频识别(radio frequency identification,RFID)网络优化问题,综合考虑覆盖率、负载平衡程度、成本,建立了鲁棒优化模型.为求解负载平衡程度,采用基于Korobov点阵的蒙特卡洛方法.为减少计算量,提高算法寻...
详细信息
针对电子标签位置不确定的物流射频识别(radio frequency identification,RFID)网络优化问题,综合考虑覆盖率、负载平衡程度、成本,建立了鲁棒优化模型.为求解负载平衡程度,采用基于Korobov点阵的蒙特卡洛方法.为减少计算量,提高算法寻优能力,提出一种基于不对称时变S–形(Sigmoid)函数的鲁棒粒子群算法(PSO).样本规模仅取部分较小整数、部分较大整数.仅在算法迭代后期,样本规模期望值大,保证算法开发精度;在较多迭代次数中,样本规模期望值小,加快算法探索速度.仿真实验表明,该方法具有较佳的搜索性能.
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