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38篇 您的检索式：作者名="Fu Minyue"

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	题名	作者	年代	出处	被引量
1	Collaborative target tracking in WSNs using the combination of maximum likelihood estimation and Kalman filtering显示文摘Target tracking using wireless sensor networks requires efficient collaboration among sensors to tradeoff between energy consumption and tracking accuracy. This paper presents a collaborative target tracking approach in wireless sensor networks using the combination of maximum likelihood estimation and the Kalman filter. The cluster leader converts the received nonlinear distance measurements into linear observation model and approximates the covariance of the converted measurement noise using maximum likelihood estimation, then applies Kalman filter to recursively update the target state estimate using the converted measurements. Finally, a measure based on the Fisher information matrix of maximum likelihood estimation is used by the leader to select the most informative sensors as a new tracking cluster for further tracking. The advantages of the proposed collaborative tracking approach are demonstrated via simulation results.	Xingbo WANG Huanshui ZHANG Minyue FU	2013	控制理论与应用(英文版)2013，11，1：	4
2	Consensus for high-order multi-agent systems with communication delay显示文摘In this study, consensus problem for general high-order multi-agent systems with communication delay is investigated. Given the unstable agent dynamics and a known communication delay, two consensus protocols are designed to guarantee consensus over undirected network. By jointly researching the effects of agent dynamics and network topology, allowable delay bounds depending on the maxima of concave functions are easy to calculate. Especially, the maximum delay bound is derived when the network topology is completely connected. The main approach for the same involves designing the control gains on the basis of the solution of a parametric algebraic Riccati equation. Finally, the theoretical results are demonstrated via numerical simulations.	Zhenhua WANG Huanshui ZHANG Minyue FU Huaxiang ZHANG	2017	Science China(Information Sciences)2017，60，9：	3
3	Convergence Rate Analysis of Gaussian Belief Propagation for Markov Networks显示文摘Gaussian belief propagation algorithm(GaBP) is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks. It is well known that the algorithm correctly computes marginal density functions from a high dimensional joint density function over a Markov network in a finite number of iterations when the underlying Gaussian graph is acyclic. It is also known more recently that the algorithm produces correct marginal means asymptotically for cyclic Gaussian graphs under the condition of walk summability(or generalised diagonal dominance). This paper extends this convergence result further by showing that the convergence is exponential under the generalised diagonal dominance condition,and provides a simple bound for the convergence rate. Our results are derived by combining the known walk summability approach for asymptotic convergence analysis with the control systems approach for stability analysis.	Zhaorong Zhang Minyue Fu	2020	IEEE/CAA Journal of Automatica Sinica2020，7，3：	2
4	A blind approach to Hammerstein model identification显示文摘	Bai Er-Wei Fu Minyue	2002	IEEE Transactions on Signal Processing2002，50，7：	1
5	A Blind Approach to Hammerstein Model Identification 显示文摘	Bai Er-Wei Fu Minyue	2001	Proceedings of the 40th Conference on Decision and Control(S0191-2216) Orlando Florida USA2001，50，7：	1
6	Target tracking in wireless sensor networks based on the combina- tion of KF and MLE using distance measurements 显示文摘	WANG Xingbo FU Minyue ZHANG Huanshui	2012	IEEE Transactions on Mobile Computing2012，11，4：	1
7	The Sector Bound Approach to Quantized Feedback Control显示文摘	Fu Minyue Xie Lihua	2005	IEEE Transactions on Automatic Control2005，50，11：	1
8	Performance Comparison of Distributed State Estimation Algorithms for Power Systems显示文摘A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori(MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.	SUN Yibing FU Minyue ZHANG Huanshui	2017	Journal of Systems Science & Complexity2017，30，3：	1
9	Target Tracking in Wireless Sensor Networks Based on the Combination of KF and MLE Using Distance Measurements 显示文摘	Wang Xingbo Fu Minyue Zhang Huanshui	2012	IEEE Transactions on Mobile Computing2012，11，4：	1
10	Target tracking in wireless sensor networks based on the combination of KF and MLE using distance measurements 显示文摘	Wang Xingbo Fu Minyue Zhang Huanshui	2012	IEEE Transactions on Mobile Computing2012，11，4：	1
11	H∞ control and quadratic stabilization of systems with parameter uncertain via output feedback显示文摘	XIE Lihua FU Minyue de SOUZA C E	1992	IEEE Trans on Automatic Control1992，37，8：	1
12	A Linear Matrix Inequality Approach to Robust H∞ Filtering显示文摘	Li Huaizhong Fu Minyue	1997	IEEE Transactions on Signal Processing1997，45，9：	1
13	The Sector Bound Approach to Quantized Feedback Control显示文摘	Fu Minyue Xie Lihua	2005	IEEE Transactions on Automatic Control2005，50，11：	1
14	A nonlinear neural network model of mixture of local principal component analysis : Application to handwritten digits recognition 显示文摘	Zhang Bailing Fu Minyue Yan Hong	2001	Pattern Recognition2001，34，2：	1
15	H∞ control and quadratic stabilization of systems with parameter uncertainty via output feedback显示文摘	XIE Lihua FU Minyue de SOUZA C E	1992	IEEE Tram on Automatic Control1992，37，8：	1
16	Computational complexity of a problem arising in fixed order output feedback design显示文摘	FU Minyue LUO Zhiquan	1997	Systems and Control Letters1997，30，5：	1
17	Quantized feedback control for linear uncertain systems显示文摘	Fu Minyue Xie Lihua		0，，08：	1
18	Mean square stability for kalman filtering with markovian packet losses显示文摘	KEYOU YOU MINYUE FU	2011	Automatiea2011，47，12：	1
19	Handwritten digit recognition by adaptive-subspace self-organizing map显示文摘	Bailing Zhang Minyue Fu Hong Yan Marwan A Jabri	1999	IEEE Transactions on neural network1999，10，4：	1
20	Target tra- cking in wireless sensor networks based on the combination of KF and MLE using distance measurements 显示文摘	Wang Xiaobo Fu Minyue Zhang Huanshui	2012	IEEE Transactions on Mobile Computing2012，11，4：	1

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