| 摘 要: 在无线网络控制系统传统模型状态估计问题研究的基础上，对系统模型进行改进。在系统传感器与估计器之间建立多条通信信道，应用基于隐马尔可夫模型的标准卡尔曼滤波算法，模拟仿真多通信信道高效切换，分析在所述改进模型下，系统矩阵特征值与滤波器估计误差协方差矩阵敛散性之间的关系。MATLAB仿真实验结果验证了所述改进方法的合理性和可行性，具有一定的理论和实际意义。 |
| 关键词: 无线网络控制系统；状态估计；卡尔曼滤波；数据包丢失；仿真 |
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中图分类号: TP393.0
文献标识码: A
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| Improved State Estimation Method and Simulation of Wireless Network Control System |
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LI Zihao
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(School of Information Science and Technology, Zhejiang Sci -Tech University, Hangzhou 310018, China)
P1umH0@163.com
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| Abstract: This paper proposes to improve wireless network control system model based on research on the state estimation problem of the traditional model. Multiple communication channels between the system sensor and the estimator are established and standard Kalman filter algorithm based on the hidden Markov model is applied. Then, the efficient switching of multiple communication channels is simulated and relationship between system matrix eigenvalues and the convergence-and-divergence of filter estimation error covariance matrix under the improved model is analyzed. Results of MATLAB (Matrix & Laboratory) simulation experiment verify that the improved method proposed in this paper is rational and feasible, and has certain theoretical and practical significance. |
| Keywords: wireless network control system; state estimation; Kalman filter; packet loss; simulation |
