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中文摘要：
传感器网络是当前国际上备受关注的、由多学科高度交叉的前沿研究热点领域，其分布式滤波器的设计与综合是非常重要的基础研究内容。本项目将基于网络环境，综合考虑节点之间信息传递的各种网络诱导现象，以及拓扑结构动态变化、节点能量有限等制约因素，建立相应的监控/测量系统的非线性随机动力学模型与测量模型，并设计满足工程需求的滤波性能指标与能量效用指标的分布式滤波器结构与参数，从定性和定量的角度揭示各传感器节点之间相互影响相互作用的关系、滤波器结构与动态拓扑结构之间的动态关联性以及滤波性能指标与系统能耗指标之间的博弈等等。进而，获得满足给定性能指标的分布式滤波器的存在性条件及其最优/次优分布式滤波器的设计算法，并进一步分析滤波算法的收敛性与鲁棒性等综合问题。本项目将大大地丰富、拓展现有的研究成果，力图从理论与技术层面上完善分布式滤波的理论体系，其研究成果具有较高的理论价值和广泛的应用前景。
结论摘要：
英文主题词Distributed systems；Sensor networks；Incomplete information；Event-triggering；Filtering
成果综合统计
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期刊论文
Non-fragile H-infinity control with randomly occurring gain variations, distributed delays and chann
H-infinity fault estimation with randomly occurring uncertainties, quantization effects and successi
Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple miss
Finite-Horizon H-infinity Control for Discrete Time-Varying Systems With Randomly Occurring Nonlinea
H-infinity state estimation for discrete-time delayed neural networks with randomly occurring quanti
H-infinity state estimation with fading measurements, randomly varying nonlinearities and probabilis
Envelope-constrained H-infinity filtering with fading measurements and randomly occurring nonlineari
Fuzzy Filtering with Randomly Occurring Parameter Uncertainties, Interval Delays, and Channel Fading
H-infinity consensus control for multi-agent systems with missing measurements: The finite-horizon c
Dissipative control for state-saturated discrete time-varying systems with randomly occurring nonlin
H-infinity State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measur
Performance Analysis with Network-Enhanced Complexities: On Fading Measurements, Event-Triggered Mec
H-infinity output-feedback control with randomly occurring distributed delays and nonlinearities sub
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