无线网络化非线性系统滤波研究

With the rapid development of computer network and wireless communication technology, the problem of remote state estimation for nonlinear systems based on the wireless network has become the research hotspot and the difficulty in the field of automation. The problems of wireless network transmission delay, packet loss and signal attenuation, etc bring new challenges to the design and analysis of nonlinear filter. Therefore, this project studies the problem of nonlinear filtering systematically for wireless networked system, and puts forward the new nonlinear filtering method under the complex network environment. First of all, the characteristics of wireless network and the structure of the nonlinear system are analyzed comprehensively, and the reasonable and effective wireless networked nonlinear system model is set up. Secondly, new methods of nonlinear filter design are proposed with consideration of the network performance parameters such as delay, packet loss rate, and the less conservative stability conditions of the filters are given. Further, design the robust and adaptive nonlinear filter, which can overcome the influence of random uncertainty in network environment and improve the accuracy effectively for the remote state estimation. Finally, the theoretical results will be validated by wireless network data transmission test platform. The project research will enrich and develop the filtering theory of nonlinear system. The research achivements are expected to provide theoretical and technical support for actual engineering field of wireless nonlinear filtering under the network environment, such as navigation of aircraft and target tracking.

随着计算机网络和无线通信技术的迅猛发展，基于无线网络的非线性系统远程状态估计问题成为自动化领域的研究热点和难点。无线网络传输时延、数据包丢失和信号衰减等问题给非线性系统滤波器设计与分析提出新的挑战。因此，本项目针对无线网络化非线性系统滤波问题展开系统性研究，提出复杂网络环境下非线性滤波器设计新方法。首先，综合分析无线网络特性和系统结构非线性，建立合理有效的无线网络化非线性系统模型；其次，针对建立的模型提出融入时延、丢包率等网络性能参数的非线性滤波器设计新方法，给出具有较低保守性的滤波稳定性条件；进一步设计具有鲁棒性与自适应性的非线性滤波器，克服网络环境随机不确定性的影响，有效提高远程状态估计的精度；最后，理论结果将通过无线网络数据传输测试平台进行验证。项目研究将丰富和发展非线性系统滤波理论，有望为飞行器导航、目标跟踪等无线网络环境下非线性滤波的实际工程领域提供理论和技术支撑。

随着无线传感网络的广泛应用，基于无线网络的非线性状态估计问题成为自动化领域的研究热点和难点。无线网络传输时延、数据包丢失、信号衰减和随机非线性干扰等问题给非线性滤波器设计与分析提出新的挑战。本项目针对无线网络化非线性系统滤波问题展开研究，提出复杂网络环境下非线性滤波器设计新方法。通过综合分析无线网络特性和系统结构非线性，建立合理有效的无线网络化非线性系统模型；针对网络中的时延、丢包、信号衰减等问题，设计高效、精确的非线性滤波器并给出保证其稳定的充分条件；为了解决网络环境中随机非线性干扰对系统的影响，设计具有鲁棒性的非线性滤波器，有效提高远程状态估计的精度；采用事件触发的数据传输方式减少传感器数据的传输、降低网络带宽的占用，减少时延、丢包等现象的发生；将设计的非线性滤波器理论运用在无线网络数据传输测试平台上，验证其有效性。项目研究进一步丰富和发展了非线性系统滤波理论，为在无线网络环境下的飞行器导航、目标跟踪等实际工程提供理论和技术支撑。