Recursive Filtering for Stochastic Systems With Filter-and-Forward Successive Relays

In this paper,the recursive filtering problem is considered for stochastic systems over filter-and-forward successive relay(FFSR)networks.An FFSR is located between the sensor and the remote filter to forward the measurement.In the successive relay,two cooperative relay nodes are adopted to forward the signals alternatively,thereby existing switching characteristics and inter-relay interferences(IRI).Since the filter-and-forward scheme is employed,the signal received by the relay is retransmitted after it passes through a linear filter.The objective of the paper is to concurrently design optimal recursive filters for FFSR and stochastic systems against switching characteristics and IRI of relays.First,a uniform measurement model is proposed by analyzing the transmission mechanism of FFSR.Then,novel filter structures with switching parameters are constructed for both FFSR and stochastic systems.With the help of the inductive method,filtering error covariances are presented in the form of coupled difference equations.Next,the desired filter gain matrices are further obtained by minimizing the trace of filtering error covariances.Moreover,the stability performance of the filtering algorithm is analyzed where the uniform bound is guaranteed on the filtering error covariance.Finally,the effectiveness of the proposed filtering method over FFSR is verified by a three-order resistance-inductance-capacitance circuit system.

Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks

Dear Editor,In this paper,a recursive filtering problem(RRP)is addressed for nonlinear systems over full-duplex relay(FDR)networks.A FDR is adopted to forward measurements of the sensor to the filter.Because of concurrently transmitting and receiving,the FDR is interfered by the signals from itself,thereby exhibiting self-interference(SI).

大型氦气螺杆压缩机核心技术研究开发与应用

大型氦低温制冷技术是支撑空间技术和前沿基础科学等研究的关键技术.氦气喷油式螺杆压缩机是实现大型氦低温制冷循环的一种核心设备,技术难度高于一般气体介质的压缩机,是螺杆式压缩机技术制高点之一.针对压缩氦气容易泄漏和冷却难两大技术挑战,我们研究了适用于氦气工质高效率压缩的核心技术,包括转子新型线开发、喷油雾化冷却、高效率油-氦气分离技术等.提出了转子内部泄漏归一化权重分析方法和复杂多变量整体优化方法,开发出N_He和I两种适用于氦气压缩的流线型非对称新型线,动力学上更利于油膜形成,进一步提高了容积效率;根据螺杆转子热弹变形分析,采用补偿法设计调整转子间隙,提高了运行的可靠性.研究形成了单机压比范围为4~15和容量排量范围为100~10000 Nm3/h的成熟工业化产品,不同型号的性能指标达到或优于国际同等产品.研发的产品在国家重大低温装备、航天级氢液化、核工业、可控核聚变和氦工业等战略领域都获得了长期稳定的成功应用,促进了我国超导研究、前沿科学、氢能源和航天事业等领域的发展.